Analysis of Variance in Experimental Design PDF Download
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Author: Harold R. Lindman
Publisher: Springer Science & Business Media
ISBN: 1461397227
Category : Mathematics
Languages : en
Pages : 532
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Book Description
As an introductory textbook on the analysis of variance or a reference for the researcher, this text stresses applications rather than theory, but gives enough theory to enable the reader to apply the methods intelligently rather than mechanically. Comprehensive, and covering the important techniques in the field, including new methods of post hoc testing. The relationships between different research designs are emphasized, and these relationships are exploited to develop general principles which are generalized to the analyses of a large number of seemingly differentdesigns. Primarily for graduate students in any field where statistics are used.
Author: Harold R. Lindman
Publisher: Springer Science & Business Media
ISBN: 1461397227
Category : Mathematics
Languages : en
Pages : 532
Get Book Here
Book Description
As an introductory textbook on the analysis of variance or a reference for the researcher, this text stresses applications rather than theory, but gives enough theory to enable the reader to apply the methods intelligently rather than mechanically. Comprehensive, and covering the important techniques in the field, including new methods of post hoc testing. The relationships between different research designs are emphasized, and these relationships are exploited to develop general principles which are generalized to the analyses of a large number of seemingly differentdesigns. Primarily for graduate students in any field where statistics are used.
Author: Robert K. Leik
Publisher: SAGE Publications
ISBN: 1452250359
Category : Social Science
Languages : en
Pages : 209
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Book Description
Why is this Book a Useful Supplement for Your Statistics Course? Most core statistics texts cover subjects like analysis of variance and regression, but not in much detail. This book, as part of our Series in Research Methods and Statistics, provides you with the flexibility to cover ANOVA more thoroughly, but without financially overburdening your students.
Author: Barbara G. Tabachnick
Publisher: Brooks/Cole
ISBN: 9780534405144
Category : Mathematics
Languages : en
Pages : 724
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Book Description
This text reflects the practical approach of the authors. Barbara Tabachnick and Linda Fidell emphasize the use of statistical software in design and analysis of research in addition to conceptual understanding fostered by the presentation and interpretation of fundamental equations. EXPERIMENTAL DESIGN USING ANOVA includes the regression approach to ANOVA alongside the traditional approach, making it clearer and more flexible. The text includes details on how to perform both simple and complicated analyses by hand through traditional means, through regression, and through SPSS and SAS.
Author: Steven R. Brown
Publisher: SAGE
ISBN: 9780803938540
Category : Social Science
Languages : en
Pages : 102
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Book Description
Experimental design is one of the most fundamental topics in social science statistics. This book introduces the reader to the elements of experimental design and analysis through careful explanations of the procedures as well as through illustrations using actual examples.
Author: Angela M. Dean
Publisher: Springer Science & Business Media
ISBN: 0387226346
Category : Mathematics
Languages : en
Pages : 754
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Book Description
This book offers a step-by-step guide to the experimental planning process and the ensuing analysis of normally distributed data, emphasizing the practical considerations governing the design of an experiment. Data sets are taken from real experiments and sample SAS programs are included with each chapter. Experimental design is an essential part of investigation and discovery in science; this book will serve as a modern and comprehensive reference to the subject.
Author: Douglas C. Montgomery
Publisher: Wiley
ISBN: 9780471661597
Category : Experimental design
Languages : en
Pages : 0
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Book Description
This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.
Author: Michael H. Herzog
Publisher: Springer
ISBN: 3030034992
Category : Science
Languages : en
Pages : 146
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Book Description
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.
Author: Glenn Gamst
Publisher:
ISBN: 9780511429156
Category : Analysis of variance
Languages : en
Pages : 596
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Book Description
This textbook explains ANOVA designs for advanced undergraduates and graduate students in the behavioural sciences.
Author: A. J. Underwood
Publisher: Cambridge University Press
ISBN: 9780521556965
Category : Nature
Languages : en
Pages : 536
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Book Description
First published in 1996, this book is a logical and consistent approach to experimental design using statistical principles.
Author: Geoffrey Keppel
Publisher: Macmillan
ISBN: 9780716719915
Category : Mathematics
Languages : en
Pages : 628
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Book Description
Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression/correlation (MRC), emphasizing single-degree-of-freedom comparisons so that students focus on clear research planning. This text is designed for advanced undergraduates and graduate students of the behavioral and social sciences who have an understanding of algebra and statistics.
