Sequential Methods In Statistics 3rd Edition
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Sequential Methods In Statistics 3rd Edition
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Author : G.B. Wetherill
language : en
Publisher: Chapman and Hall/CRC
Release Date : 1986-07
Sequential Methods In Statistics 3rd Edition written by G.B. Wetherill and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986-07 with Mathematics categories.
Work on sequential methods has recently developed considerably. This introductory text has been revised to include later developments and seeks to equip scientists with the knowledge and understanding of statistical methods used in the interpretation of quantitative data. As with the previous editions particular emphasis has been placed on methods which are of importance in practical applications.
Sequential Methods In Statistics
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Author : G. Barrie Wetherill
language : en
Publisher:
Release Date : 1980
Sequential Methods In Statistics written by G. Barrie Wetherill and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Sequential analysis categories.
Sequential Methods In Statistics
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Author : Wetherill
language : en
Publisher:
Release Date : 1973-01-01
Sequential Methods In Statistics written by Wetherill and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973-01-01 with categories.
Sequential Methods And Their Applications
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Author : Nitis Mukhopadhyay
language : en
Publisher: CRC Press
Release Date : 2008-10-28
Sequential Methods And Their Applications written by Nitis Mukhopadhyay and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-28 with Mathematics categories.
Interactively Run Simulations and Experiment with Real or Simulated Data to Make Sequential Analysis Come AliveTaking an accessible, nonmathematical approach to this field, Sequential Methods and Their Applications illustrates the efficiency of sequential methodologies when dealing with contemporary statistical challenges in many areas.The book fir
Sequential Methods In Statistics
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Author : G. Barrie Wetherill
language : en
Publisher: Chapman & Hall
Release Date : 1975
Sequential Methods In Statistics written by G. Barrie Wetherill and has been published by Chapman & Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Mathematics categories.
The sequential probability ratin test; Sequential tests between three hypotheses; Extensions to the SPRT; Some applications of Cox's theorem; Some methods leading to closed boundaries; Decision theory; Sequential estimation; Sequential estimation of points on regression functions; Sequential estimation of points on quantal response curves; Double sampling; Selection procedures.
Sequential Analysis
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Author : Abraham Wald
language : en
Publisher: Courier Corporation
Release Date : 2013-11-26
Sequential Analysis written by Abraham Wald and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-26 with Mathematics categories.
The first to solve the general problem of sequential tests of statistical hypotheses, the author of this text explains his revolutionary theory of the sequential probability ratio test and its applications. 1947 edition.
Handbook Of Sequential Analysis
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Author : B.K. Ghosh
language : en
Publisher: CRC Press
Release Date : 1991-04-24
Handbook Of Sequential Analysis written by B.K. Ghosh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-04-24 with Mathematics categories.
Sequential analysis refers to the body of statistical theory and methods where the sample size may depend in a random manner on the accumulating data. A formal theory in which optimal tests are derived for simple statistical hypotheses in such a framework was developed by Abraham Wald in the early 1
Research Design And Statistical Analysis
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Author : Jerome L. Myers
language : en
Publisher: Routledge
Release Date : 2013-01-11
Research Design And Statistical Analysis written by Jerome L. Myers and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-11 with Psychology categories.
Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them. Changes in the New Edition: Each section of the book concludes with a chapter that provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. In addition, the advantages and disadvantages of alternative designs are discussed. A new chapter (1) reviews the major steps in planning and executing a study, and the implications of those decisions for subsequent analyses and interpretations. A new chapter (13) compares experimental designs to reinforce the connection between design and analysis and to help readers achieve the most efficient research study. A new chapter (27) on common errors in data analysis and interpretation. Increased emphasis on power analyses to determine sample size using the G*Power 3 program. Many new data sets and problems. More examples of the use of SPSS (PASW) Version 17, although the analyses exemplified are readily carried out by any of the major statistical software packages. A companion website with the data used in the text and the exercises in SPSS and Excel formats; SPSS syntax files for performing analyses; extra material on logistic and multiple regression; technical notes that develop some of the formulas; and a solutions manual and the text figures and tables for instructors only. Part 1 reviews research planning, data exploration, and basic concepts in statistics including sampling, hypothesis testing, measures of effect size, estimators, and confidence intervals. Part 2 presents between-subject designs. The statistical models underlying the analysis of variance for these designs are emphasized, along with the role of expected mean squares in estimating effects of variables, the interpretation of nteractions, and procedures for testing contrasts and controlling error rates. Part 3 focuses on repeated-measures designs and considers the advantages and disadvantages of different mixed designs. Part 4 presents detailed coverage of correlation and bivariate and multiple regression with emphasis on interpretation and common errors, and discusses the usefulness and limitations of these procedures as tools for prediction and for developing theory. This is one of the few books with coverage sufficient for a 2-semester course sequence in experimental design and statistics as taught in psychology, education, and other behavioral, social, and health sciences. Incorporating the analyses of both experimental and observational data provides continuity of concepts and notation. Prerequisites include courses on basic research methods and statistics. The book is also an excellent resource for practicing researchers.
Sequential Methods In Statistics 2e Paper
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Author : Wetherill
language : en
Publisher:
Release Date : 1979-03-01
Sequential Methods In Statistics 2e Paper written by Wetherill and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979-03-01 with categories.
Quasi Least Squares Regression
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Author : Justine Shults
language : en
Publisher: CRC Press
Release Date : 2014-01-28
Quasi Least Squares Regression written by Justine Shults and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-28 with Mathematics categories.
Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present a detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods. They describe how QLS can be used to extend the application of the traditional GEE approach to the analysis of unequally spaced longitudinal data, familial data, and data with multiple sources of correlation. In some settings, QLS also allows for improved analysis with an unstructured correlation matrix. Special focus is given to goodness-of-fit analysis as well as new strategies for selecting the appropriate working correlation structure for QLS and GEE. A chapter on longitudinal binary data tackles recent issues raised in the statistical literature regarding the appropriateness of semi-parametric methods, such as GEE and QLS, for the analysis of binary data; this chapter includes a comparison with the first-order Markov maximum-likelihood (MARK1ML) approach for binary data. Examples throughout the book demonstrate each topic of discussion. In particular, a fully worked out example leads readers from model building and interpretation to the planning stages for a future study (including sample size calculations). The code provided enables readers to replicate many of the examples in Stata, often with corresponding R, SAS, or MATLAB® code offered in the text or on the book’s website.