John E. Freund's Mathematical Statistics
John E. Freund's Mathematical Statistics

Author: John E. Freund

Publisher: Pearson Educación

Published: 1999

Total Pages: 644

ISBN-13: 9789701703892

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For a two-semester or a three-quarter calculus-based Introduction to the Mathematics of Statistics course. This classic, calculus-based introduction to the theory - and application - of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the state-of-the-art in statistical thinking, the teaching of statistics, and current practices - including the use of the computer. *NEW - Places greater emphasis on the use of computers in performing statistical calculations. *NEW - Includes new exercises - many of which require the use of a computer. *NEW - Expands coverage of Analysis of Variance to include the two-way analysis-of-variance model with interaction and a discussion of multiple comparisons. *NEW - Adds appendices which summarize the properties of the special probability distributions and density functions that appear in the text. *Places greater emphasis on the use of computers in performing statistical calculations. *Comprehensive coverage of statistical theories. *Features more than 1,100 problems and exercises - divided into theory and applications.

Análisis de varianza con medidas repetidas
Análisis de varianza con medidas repetidas

Author: M. Carmen Ximénez

Publisher:

Published: 2000

Total Pages: 139

ISBN-13: 9788471336972

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En la presente monografía se exponen los principales modelos de análisis de varianza (o ANOVA) con medidas repetidas. Está especialmente dirigida a profesionales de las ciencias sociales y la educación/o a estudiantes de licenciatura o postgrado cuya actividad investigadora precise el análisis de datos con medidas repetidas. Se estructura en dos partes. En la primera se expone el modelo que incluye un único factor, y en la segunda los modelos de dos factores (medidas repetidas en ambos y sólo en un factor). Para cada modelo se hace referencia al modelo lineal general que plantea, el tipo de datos que permite analizar, los supuestos estadísticos en que se basa y los estadísticos que utiliza. La explicación de cada modelo se acompaña con ejemplos resueltos tanto numéricamente como mediante soporte informático a través del programa SPSS para Windows. Los autores han cuidado al máximo la claridad en la exposición y en la organización de contenidos para que el lector que no disponga de una base matemática sólida pueda seguir el texto sin dificultad.

A Student's Guide to Analysis of Variance
A Student's Guide to Analysis of Variance

Author: Maxwell J. Roberts

Publisher: Routledge

Published: 2014-06-03

Total Pages: 292

ISBN-13: 1317725050

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In the investigation of human behaviour, statistical techniques are employed widely in the social sciences. Whilst introductory statistics courses cover essential techniques, the complexities of behaviour demand that more flexible and comprehensive methods are also employed. Analysis of Variance (ANOVA) has become one of the most common of these and it is therefore essential for both student and researcher to have a thorough understanding of it. A Student's Guide to Analysis of Variance covers a range of statistical techniques associated with ANOVA, including single and multiple factor designs, various follow-up procedures such as post-hoc tests, and how to make sense of interactions. Suggestions on the best use of techniques and advice on how to avoid the pitfalls are included, along with guidelines on the writing of formal reports. Introductory level topics such as standard deviation, standard error and t-tests are revised, making this book an invaluable aid to all students for whom ANOVA is a compulsory topic. It will also serve as a useful refresher for the more advanced student and practising researcher.

Analysis of Variance and Functional Measurement
Analysis of Variance and Functional Measurement

Author: David J. Weiss

Publisher: Oxford University Press

Published: 2006

Total Pages: 278

ISBN-13: 0195183150

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This book is a clear and straightforward guide to analysis of variance, the backbone of experimental research. It will show you how to interpret statistical results and translate them into prose that will clearly tell your audience what your data is saying. To help you become familiar with the techniques used in analysis of variance, there are plenty of end-of-chapter practice problems with suggested answers. As life in the laboratory doesnt always follow a script, there are both new and established techniques for coping with situations that deviate from the norm. Data analysis is not a closed subject, so there are pros and cons for the varied situations you will encounter. The final chapter gives the first elementary presentation of functional measurement, or information integration theory, a methodology built upon analysis of variance that is a powerful technique for studying cognitive processes. The accompanying CD contains CALSTAT, analysis of variance software that is easy to use (really!). In addition to programs for standard analysis, the software includes several specialized routines that have heretofore been presented only in journals. Analysis of Variance is an important resource for students and professionals in the social, behavioral, and neurosciences.

Analysis of Variance
Analysis of Variance

Author: Gudmund R. Iversen

Publisher: SAGE

Published: 1987

Total Pages: 104

ISBN-13: 9780803930018

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The authors have improved on their widely used first edition by providing updated examples, adding material on how to do ANOVA using statistical packages for microcomputers, linking the use of ANOVA to regression analysis, and enchancing their discussion on using ANOVA for experimentally gathered data.