VD02-6 |
Encyclopedia of Research Design, 3-Vols/set. |
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Salkind, Neil J./ 9781412961271 |
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Research design, with its statistical underpinnings, can be especially daunting for students and novice researchers. At its heart, research design might be described simply as a formalized approach toward problem solving, thinking, and acquiring knowledge, the success of which depends upon clearly defined objectives and appropriate choice of statistical design and analysis to meet those objectives. Our three-volume Encyclopedia of Research Design elucidates how one makes decisions about research design, interprets data and draws valid inferences, undertakes research projects in an ethical manner, and evaluates experimental design strategies and results. From A-to-Z, this work covers the spectrum of research design strategies and topics including, among other things: fundamental research design principles, ethics in the research process, quantitative versus qualitative and mixed-method designs, completely randomized designs, multiple comparison tests, diagnosing agreement between data and models, fundamental assumptions in analysis of variance, factorial treatment designs, complete and incomplete block designs, Latin square and related designs, hierarchical designs, response surface designs, split-plot designs, repeated measures designs, crossover designs, analysis of covariance, statistical software packages, and much more. |
VD02-5 |
Encyclopedia of Statistics in Quality and Reliability, 4-Vols/Set. |
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Ruggeri, Fabrizio/ 9780470018613 |
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An essential reference for statisticians, engineers, and quality professionals in industry, academia, and government, Encyclopedia of Statistics in Quality and Reliability offers an essential knowledge source in an area where one is sorely needed. Providing a practical orientation with a large selection of case studies, this multi-volume state-of-the-art publication examines the widespread use of Six Sigma. This popular quality measuring technique is a highly adaptable tool with many wide-reaching applications in a large variety of sectors. |
VD02-4 |
Handbook of Probability. |
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Rudas, Tamas/ 9781412927147 |
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The Handbook of Probability presents an equal balance of theory and direct applications in a non-technical, yet comprehensive format so that researchers of various backgrounds can use the reference either as a primer for understanding basic probability theory or as a more advanced research tool for specific projects requiring a deeper understanding or application of probability. The wide-ranging applications of probability presented make it useful for researchers who need to make interdisciplinary connections in their work, as well as professors who teach a range of students (social sciences, education, business, behavioral sciences, etc.) and need to bring probability into greater, concrete perspective for these students. |
SD02-374 |
Bayesian Statistics and Its Applications. |
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Upadhyay, Satyanshu K./ 9781905740000 |
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In the last two decades, Bayesian Statistics has acquired immense importance and has penetrated almost every area including those where the application of statistics appeared to be a remote possibility. This volume provides both theoretical and practical insights into the subject with detailed up-to-date material on various aspects. It serves two important objectives ¡V to offer a thorough background material for theoreticians and gives a variety of applications for applied statisticians and practitioners.
Consisting of 33 chapters it covers topics on biostatistics, econometrics, reliability, image analysis, Bayesian computation, neural networks, prior elicitation, objective Bayesian methodologies, role of randomisation in Bayesian analysis, spatial data analysis, nonparametrics and a lot more.
The book will serve as an excellent reference work for updating knowledge and for developing new methodologies in a wide variety of areas. It will become an invaluable tool for statisticians and the practitioners of Bayesian paradigm. |
VD02-3-2 |
Selected Statistical Papers of Sir David Cox, Volume 2, Foundations of Statistical Inference, Theoretical Statistics, Time Series and Stochastic Processes. |
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Cox, David/ 9780521849401 |
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Sir David Cox is one of the seminal statistical thinkers of the twentieth and twenty-first centuries. In this selection of his work, Professor Cox reviews his most influential and interesting papers published before 1993. Each paper is the subject of a candid commentary written especially for this collection. In these he describes the context in which the papers arose and their subsequent influence. He also identifies avenues for future research. Organized in two volumes and grouped by theme, the papers and commentaries provide excellent coverage of many of the most significant advances in statistics in recent times. |
VD02-3-1 |
Selected Statistical Papers of Sir David Cox, Volume 1, Design of Investigations, Statistical Methods and Applications. |
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Cox, David/ 9780521849395 |
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Sir David Cox is one of the seminal statistical thinkers of the twentieth and twenty-first centuries. In this selection of his work, Professor Cox reviews his most influential and interesting papers published before 1993. Each paper is the subject of a candid commentary written especially for this collection. In these he describes the context in which the papers arose and their subsequent influence. He also identifies avenues for future research. Organized in two volumes and grouped by theme, the papers and commentaries provide excellent coverage of many of the most significant advances in statistics in recent times. |
VD02-3 |
Selected Statistical Papers of Sir David Cox, 2-Vols/Set. |
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Cox, David/ 9780521858168 |
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Sir David Cox is one of the seminal statistical thinkers of the twentieth and twenty-first centuries. In this selection of his work, Professor Cox reviews his most influential and interesting papers published before 1993. Each paper is the subject of a candid commentary written especially for this collection. In these he describes the context in which the papers arose and their subsequent influence. He also identifies avenues for future research. Organized in two volumes and grouped by theme, the papers and commentaries provide excellent coverage of many of the most significant advances in statistics in recent times. |
VD02-2 |
Encyclopedia of Measurement and Statistics, 3-Vols/Set. |
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Salkind, N./ 9781412916110 |
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In fields as varying as education, politics and health care, assessment and the use of measurement and statistics have become an integral part of almost every activity undertaken. These activities require the organization of ideas, the generation of hypotheses, the collection of data and the interpretation, illustration and analysis of data.
No matter where we look, this critical analysis is more important than ever in an age where information - and lots of it - is readily available. The average consumer must know what a `median' is or what the connotations of the term `significant' are when intelligently reading The Times, Science News or a tabloid. Likewise, students, practitioners and researchers must grapple with sophisticated terms and techniques when conducting research, writing proposals and analyzing data. The terms themselves have proven to be anxiety-provoking.
The Encyclopedia of Measurement and Statistics, in two-volumes, presents state-of-the-art information and ready-to-use facts from the fields of measurement and statistics in a non-intimidating and accessible style. The Encyclopedia is specifically written to appeal to undergraduate students as well as practitioners, researchers and consumers of information.
Whilst there are reference works covering statistics and assessment in depth, none provide as comprehensive a resource in as focused and approachable a manner as this encyclopedia. |
VA09-295 |
Encyclopedia of Statistics in Behavioral Science, 4-Vols/Set. |
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Everitt, Brian/ 9780470860809 |
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The Encyclopedia of Statistics in Behavioral Sciences encompasses the refined statistical concepts and techniques that are essential to the advancement in psychology and its ever-widening fields of application.
* Providing comprehensive accounts drawn from the huge expansion of statistical methodologies in the behavioral sciences, highlighting new techniques and developments from the past decade.
* Up-to-date coverage of developing fields including neuroscience, behavioral genetics, decision learning and cognitive science.
* Containing over 600 articles and over 400 contributions from eminent psychologists and statisticians world-wide.
* Emphasis on practical, non-technical methods with wide ranging application.
* Extensively cross-referenced to ensure fast and accurate access to available information
Representing an invaluable addition to both the psychological and statistical literature, the Encyclopedia of Statistics in Behavioral Sciences forms an essential reference work for researchers, educators and students in the fields of applied psychology, sociology, market research, consumer behavior, management science, decision making and human resource management. |
SD02-331 |
Probabilistic Applications of Tauberian Theorems. |
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Yakimiv, A. L./ 9789067644372 |
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SD02-310 |
Statistics: Concepts and Applications for Science with Workbook. |
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LeBlanc, David C./ 9780763717292 |
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The workbook component of this package offers students the opportunity to actively apply their knowledge in an extensive set of homework problems, exercises, and study problems. To assist in the learning process, study problems that include a detailed answer key are provided for each chapter. Fully elaborated solutions for all workbook problems are available for instructors. |
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Measurement Theory and Practice: The World Through Quantification. |
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Hand, David J./ 9780340677834 |
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This book explores the nature of measurement, investigating its different kinds, how these kinds should be interpreted, and the legitimacy of their statistical manipulation. The procedures through which numbers are assigned to objects are described, and measurement in psychology, medicine, the physical sciences, and the social sciences are examined in detail.
The ideas of measurement are so ubiquitous that we often fail to notice them; they are concealed behind a veil of familiarity. This book lifts the corner of that veil and, in doing so, shows that there are aspects of the familiar world that are occasionally puzzling, sometimes downright extraordinary, and often more intriguing than is generally believed. |
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Statistical Evaluation of Measurement Errors: Design and analysis of reliability studies. |
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Dunn, Graham/ 9780340760703 |
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The statistical methods used to evaluate and compare different methods of measurement are a vital common component of all methods of scientific research. This book provides a practically orientated guide to the statistical models used in the evaluation of measurement errors with a wide variety of illustrative examples taken from across the sciences. After introducing basic concepts, such as precision, reproducibility and reliability, a detailed discussion of the sources of variability of measurements and associated variance components models is provided. The central chapters deal with the design and analysis of method comparison studies (concentrating primarily on quantitative measurements) ranging from simple paired comparisons to more complex studies involving three or more methods. This leads on to a review of methods for categorical measures. |
VA08-180 |
Questionnaires, 4-Vols/Set. |
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Bulmer, Martin/ 9780761971481 |
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Questionnaires are one of the principal research tools for discovering people's thoughts, experience, attitudes and orientations to future action. Social scientists and researchers have been using questionnaires systematically for about three quarters of a century, since market research, opinion polling and survey research became a feature in both US and UK society in the 1920s and 30s.
This unrivalled collection provides the most complete resource of material about questionnaires.
The first volume provides an introduction to the use of questionnaires. It examines the principles of question construction, considers different types of questionnaire, principles of social measurement and the relationship between expressed attitudes and actual social behaviour.
The second volume covers the main types of questionnaire and question construction. Included here is material on question order, question wording and response alternatives. The measurement of attitudes is examined.
The third volume focuses on how to handle sensitive questons, problems of validity, the extent to which researchers succeed in measuring what they want to measure, and the relationship between the tools which they use and the underlying theoretical constructs.
The fourth volume, on Surveys in the World, brings together the best material on memory and recall, truth-telling issues and how respondents comprehend basic questions. The advent of the computer programmed questionnaire is examined.
The collection represents a distillation of the world's best material on questions and questionnaires in social surveys. |
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Multilevel Statistical Models. |
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Goldstein, Harvey/ 9780340806555 |
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It is now generally recognised in many areas of the social, medical and other sciences that statistical data typically have complex hierarchical or multilevel structures in which individuals are grouped together in communities or institutions. This grouping affects their behaviour and multilevel modelling is now the accepted statistical technique for the analysis of this type of data. An understanding of these methods is vital for researchers in fields such as education, epidemiology, geography, child growth and social surveys, among others. This new edition brings the book fully up to date, explaining important new developments such as the use of Markov Chain Monte Carlo methods, bootstrapping and mulitvariate models. The book has been completely restructured for this third edition and extra space has been given to discussion of key issues such as missing data, measurement errors and multivariate models. Real-life examples are used throughout to illustrate clearly the theoretical concepts. |
VM01-42 |
Biostatistical Genetics and Genetic Epidemiology. |
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Elston, Robert C./ 9780471486312 |
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Human Genetics concerns the study of genetic forces in man. By studying our genetic make-up we are able to understand more about our heritage and evolution. Some of the original, and most significant research in genetics centred around the study of the genetics of complex diseases - genetic epidemiology.
This is the third in a highly successful series of books based on articles from the Encyclopedia of Biostatistics. This volume will be a timely and comprehensive reference, for a subject that has seen a recent explosion of interest following the completion of the first draft of the Human Genome Mapping Project. The editors have updated the articles from the Human Genetics section of the EoB, have adpated other articles to give them a genetic feel, and have included a number of newly commissioned articles to ensure the work is comprehensive and provides a self-contained reference. |
VE01-10 |
Biostatistics of Clinical Trials. |
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Redmond, Carol K./ 9780471822110 |
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The second volume in the Wiley reference series in Biostatistics.
Featuring articles from the prestigious Encyclopedia of Biostatistics, many of which have been fully revised and updated to include recent developments, Biostatistics in Clinical Trials also includes up to 25% newly commissioned material reflecting the latest thinking in:
* Bayesian methods
* Benefit/risk assessment
* Cost-effectiveness
* Ethics
* Fraud
With exceptional contributions from leading experts in academia, government and industry, Biostatistics in Clinical Trials has been designed to complement existing texts by providing extensive, up-to-date coverage and introducing the reader to the research literature.
Offering comprehensive coverage of all aspects of clinical trials Biostatistics in Clinical Trials:
* Includes concise definitions and introductions to numerous concepts found in current literature
* Discusses the software and textbooks available
* Uses extensive cross-references helping to facilitate further research and enabling the reader to locate definitions and related concepts
Biostatistics in Clinical Trials offers both academics and practitioners from various disciplines and settings, such as universities, the pharmaceutical industry and clinical research organisations, up-to-date information as well as references to assist professionals involved in the design and conduct of clinical trials. |
VA08-171 |
Data Analysis Using SPSS for Window - Version 8- 10 A Beginner S Guide: A Beginner's Guide. |
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Foster, Jeremy J./ 9780761969266 |
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A new edition of this best-selling introductory book to cover the latest SPSS versions 8.0 - 10.0
This book is designed to teach beginners how to use SPSS for Windows, the most widely used computer package for analysing quantitative data. Written in a clear, readable and non-technical style the author explains the basics of SPSS including the input of data, data manipulation, descriptive analyses and inferential techniques, including;
- creating using and merging data files
- creating and printing graphs and charts
- parametric tests including t-tests, ANOVA, GLM
- correlation, regression and factor analysis
- non parametric tests and chi square
- reliability
- obtaining neat print outs and tables
- includes a disk containing example data files, syntax files, output files and Excel spreadsheets.
The book starts with a brief introduction to statistical analysis - beginning with basic definitions through to interpretation and significance of the results. The author shows in a simple step-by-step method how to set up SPSS data files in order to run your analysis as well as how to graph and display data. The book shows the reader how to use SPSS for all the main statistical approaches you would expect to find in an introductory statistics course.
Also included are detailed worked examples - with SPSS output and screen shots, along with diagrams and a useful decision chart to select the appropriate statistical test. The differences between versions 8.0 - 10.0 are also listed to help those upgrading to the latest version.
This book will prove invaluable to all those students and researchers who need to learn to use SPSS effectively in their research. |
VA08-175 |
Introduction Anova and Ancova: AGLM Approach. |
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Rutherford, Andrew/ 9780761951605 |
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Traditional approaches to ANOVA and ANCOVA are now being replaced by a General Linear Modeling (GLM) approach. This book begins with a brief history of the separate development of ANOVA and regression analyses and demonstrates how both analysis forms are subsumed by the General Linear Model. A simple single independent factor ANOVA is analysed first in conventional terms and then again in GLM terms to illustrate the two approaches.
The text then goes on to cover the main designs, both independent and related ANOVA and ANCOVA, single and multi-factor designs. The conventional statistical assumptions underlying ANOVA and ANCOVA are detailed and given expression in GLM terms.
Alternatives to traditional ANCOVA are also presented when circumstances in which certain assumptions have not been met. The book also covers other important issues in the use of these approaches such as power analysis, optimal experimental designs, normality violations and robust methods, error rate and multiple comparison procedures and the role of omnibus F-tests. |
VA08-174 |
Applying Regression and Correlation A Guide for Students and Researchers: A Guide for Students and Researchers. |
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Miles, Jeremy/ 9780761962298 |
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This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.
The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysis and can be extended to deal with first one, and then more than one independent variable.
Extending the model from the mean to a regression analysis provides a powerful, but simple, way of thinking about what students believe are the more complex aspects of regression analysis.
The authors gradually extend the model to include aspects of regression analysis such as non-linear regression, logistic regression, and moderator and mediator analysis. These approaches are often presented in terms that are too mathematical for non-statistically inclined students to deal with.
Throughout the book maintains a conceptual, non-mathematical focus. Most equations are placed in an appendix, where a detailed explanation is given, to avoid disrupting the flow of the main text.
This book will be indispensable for anyone using regression and correlation from undergraduates doing projects to postgraduate and researchers. |
VA08-173 |
Generalized Linear Models: A Unified Approach. |
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Gill, Jeff/ 9780761920557 |
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The author explains the theoretical underpinnings of generalized linear models so that researchers can decide how to select the best way to adapt their data for this type of analysis. Examples are provided to illustrate the application of GLM to actual data and the author includes his web address where additional resources can be found. |
VA08-172 |
Multiple and Generalized Nonparametric Regression. |
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Fox, John/ 9780761921899 |
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While regression analysis traces the dependence of the distribution of a response variable to see if it bears a particular (linear) relationship to one or more of the predictors, nonparametric regression analysis makes minimal assumptions about the form of relationship between the average response and the predictors. This makes nonparametric regression a more useful technique for analyzing data in which there are several predictors that may combine additively to influence the response. (An example could be something like birth order//gender//and temperament on achievement motivation).
Unfortunately, researchers have not had accessible information on nonparametric regression analysisuntil now. Beginning with presentation of nonparametric regression based on dividing the data into bins and averaging the response values in each bin, Fox introduces readers to the techniques of kernel estimation, additive nonparametric regression, and the ways nonparametric regression can be employed to select transformations of the data preceding a linear least-squares fit. The book concludes with ways nonparametric regression can be generalized to logit, probit, and Poisson regression. |
VA08-170 |
Beginning Statistics An Introduction for Social Scientists: An Introduction for Social Scientists. |
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Diamond, Ian/ 9780761960614 |
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With an emphasis on description, examples, graphs and displays rather than statistical formulae, this book is the ideal introductory guide for students across the social sciences. It shows how all students can understand the basic ideas of statistics at a level appropriate with being a good social scientist. The authors explain the right ways to present data, how to describe a set of data using summary statistics and how to infer what is going on in a population when all you have to go on is the sample. The book uses small data sets to help students understand the basic principles, and no mathematics or statistical background is assumed. |
VA08-169 |
Introducing LISREL: A Guide for the Uninitiated. |
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Diamantopoulos, Adamantios/ 9780761951704 |
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Emphasizing substantive issues rather than intricate statistical details, this book provides a comprehensive introduction to LISREL for structural equation modeling (SEM) using a non-technical, user-oriented approach that. The emphasis is on:
- exposing the reader to the major steps associated with the formulation and testing of a model under the LISREL framework
- describing the key decisions associated with each step
- highlighting potential problems and limitations associated with LISREL modeling
- assisting the interpretation of LISREL input and output files.
The overall aim is to provide a critical understanding of what is really involved in LISREL modeling and sensitize the reader against `mechanically' fitting or modifying models.
The entire range of decisions associated with the practical application of the LISREL program is covered in a user-friendly fashion. Concrete examples are used throughout to illustrate issues relating to model conceptualization, specification, identification, estimation, evaluation, modification, and cross-validation and illustrated with actual program output.
The program is made much more accessible by adopting the more user-friendly SIMPLIS command language for preparing input files. Although primarily aimed at beginning users, readers are directed to further reading together with a comprehensive bibliography for the more advanced user. |
VA08-168 |
Statistics: A Gentle Introduction. |
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Coolidge, Frederick L./ 9780761954842 |
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Doing statistics for the first time? `Don't panic', says Fred Coolidge. He shows how statistics needn't be difficult or dull. He likens the role of the statistician to a detective, searching for clues to causation at the scene of a crime. He minimises the use of formulas, but provides a step-by-step approach to their solution, and includes practical assignments. The book contains a wealth of real-world examples that give students a sense of how the science of statistics works, solves problems and helps us make informed choices about the world we live in. |
VA08-154 |
Understanding Social Statistics. |
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Fielding, Jane/ 9780803979826 |
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Designed to help take the fear out of the essential use of numbers in social research, this textbook introduces students to statistics as a powerful means of revealing patterns in human behaviour. The authors provide an accessible guide to quantitative data analysis including: clear explanations of all the methods; comprehensive coverage of analytic tools; an introduction to using SPSS, the most widely used statistical analysis program; examples based on real datasets - the UK General Household Survey and the World Bank's Social Indicators of Development - available to students on the World Wide Web; helpful chapter summaries; exercises at the end of each chapter; and a glossary of key terms. |
VA08-139 |
Nonparametric Simple Regression: Smothing Scatterplots. |
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Fox, John/ 9780761915850 |
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While regression analysis traces the dependence of the distribution of a response variable to see if it bears a particular (linear) relationship to one or more of the predictors, nonparametric regression analysis makes minimal assumptions about the form of relationship between the average response and the predictors. This makes nonparametric regression a more useful technique for analyzing data in which there are several predictors that may combine additively to influence the response. (An example could be something like birth order//gender//and temperament on achievement motivation).
Unfortunately, researchers have not had accessible information on nonparametric regression analysisuntil now. Beginning with presentation of nonparametric regression based on dividing the data into bins and averaging the response values in each bin, Fox introduces readers to the techniques of kernel estimation, additive nonparametric regression, and the ways nonparametric regression can be employed to select transformations of the data preceding a linear least-squares fit. The book concludes with ways nonparametric regression can be generalized to logit, probit, and Poisson regression. |
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Statistical Decision Theory. |
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French, Simon/ 9780340614600 |
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Statistical Regression With Measurement Error. |
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Ness, John V./ 9780340614617 |
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Latent Variable Models and Factor Analysis. |
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Bartholomew, David/ 9780340692431 |
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