Books in Research techniques and statistics

11-16 of 16 results in All results

Regression Analysis for Social Sciences

• 1st Edition
• June 25, 1998
• Alexander von Eye + 1 more
• English
• eBook 978-0-08-055082-4

  9 7 8 - 0 - 0 8 - 0 5 5 0 8 2 - 4

Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regression. This book can be used for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. Most of the techniques are explained step-by-step enabling students and researchers to analyze their own data. Examples include data from the social and behavioral sciences as well as biology, making the book useful for readers with biological and biometrical backgrounds. Sample command and result files for SYSTAT are included in the text.

Sampling Source Book

• 1st Edition
• February 5, 1996
• C L Thomas
• English
• eBook 978-1-4832-9282-3

  9 7 8 - 1 - 4 8 3 2 - 9 2 8 2 - 3

The Sampling Source Book is an invaluable guide to the world's literature on sampling and provides a timely and much needed focus on what is a diverse and important subject. Based on an exhaustive search of the world's literature, this index containsbibliographic references to journal articles, patents, conference proceedings, books, technical reports and standards. Details of databases searched and outlines are provided as to how the searches were conducted to facilitate update of the data by usersof the index. The material contained in this source book has been assessed by specialists in sampling operations; assuring relevance of the material included. Comprehensive lists of suppliers of sampling equipment, consultants and professional bodieswith expertise and interests in sampling are also presented.

Multivariate Analysis of Data in Sensory Science

• 1st Edition
• Volume 16
• February 1, 1996
• T. Naes + 1 more
• English
• eBook 978-0-08-053716-0

  9 7 8 - 0 - 0 8 - 0 5 3 7 1 6 - 0

The state-of-the-art of multivariate analysis in sensory science is described in this volume. Both methods for aggregated and individual sensory profiles are discussed. Processes and results are presented in such a way that they can be understood not only by statisticians but also by experienced sensory panel leaders and users of sensory analysis.The techniques presented are focused on examples and interpretation rather than on the technical aspects, with an emphasis on new and important methods which are possibly not so well known to scientists in the field. Important features of the book are discussions on the relationship among the methods with a strong accent on the connection between problems and methods. All procedures presented are described in relation to sensory data and not as completely general statistical techniques.Sensory scientists, applied statisticians, chemometricians, those working in consumer science, food scientists and agronomers will find this book of value.

The Data Analysis Handbook

• 1st Edition
• Volume 14
• September 30, 1994
• I.E. Frank + 1 more
• English
• eBook 978-0-08-086841-7

  9 7 8 - 0 - 0 8 - 0 8 6 8 4 1 - 7

Analyzing observed or measured data is an important step in applied sciences. The recent increase in computer capacity has resulted in a revolution both in data collection and data analysis. An increasing number of scientists, researchers and students are venturing into statistical data analysis; hence the need for more guidance in this field, which was previously dominated mainly by statisticians.This handbook fills the gap in the range of textbooks on data analysis. Written in a dictionary format, it will serve as a comprehensive reference book in a rapidly growing field. However, this book is more structured than an ordinary dictionary, where each entry is a separate, self-contained entity. The authors provide not only definitions and short descriptions, but also offer an overview of the different topics. Therefore, the handbook can also be used as a companion to textbooks for undergraduate or graduate courses.1700 entries are given in alphabetical order grouped into 20 topics and each topic is organized in a hierarchical fashion. Additional specific entries on a topic can be easily found by following the cross-references in a top-down manner. Several figures and tables are provided to enhance the comprehension of the topics and a list of acronyms helps to locate the full terminologies. The bibliography offers suggestions for further reading.

Experimental Design: A Chemometric Approach

• 2nd Edition
• Volume 11
• June 4, 1993
• S.N. Deming + 1 more
• English
• Hardback 978-0-444-89111-2

  9 7 8 - 0 - 4 4 4 - 8 9 1 1 1 - 2
• eBook 978-0-08-086838-7

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Now available is the second edition of a book which has been described as "...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm." (Analytical Chemistry)N.R. Draper reviewed the first edition in Publication of the International Statistical Institute "...discussion is careful, sensible, amicable, and modern and can be recommended for the intended readership."The scope of the first edition has been revised, enlarged and expanded. Approximately 30% of the text is new. The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented.The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.

Statistical Methods for Meta-Analysis

• 1st Edition
• July 10, 1985
• Larry V. Hedges + 1 more
• English
• Hardback 978-0-12-336380-0

  9 7 8 - 0 - 1 2 - 3 3 6 3 8 0 - 0
• eBook 978-0-08-057065-5

  9 7 8 - 0 - 0 8 - 0 5 7 0 6 5 - 5

The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis , and we do not deal with these. Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader.Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.