This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to pre...

Lost Detroit is the latest in the series from Anova Books that traces the cherished places in a city that time, progress and fashion have swept aside before concerned citizens or the National Regis...

Statistical Methods in the Atmospheric Sciences, Fourth Edition, continues the tradition of trying to meet the needs of students, researchers and operational practitioners. This updated edition not...

More comprehensive than other texts, this new book covers the classic and cutting edge multivariate techniques used in today's research. Ideal for courses on multivariate statistics/analysis/design...

This text is a step-by-step guide for students taking a first course in statistics for social work and for social work managers and practitioners who want to learn how to use Excel to solve practic...

Accessible, engaging, and informative, this text will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple...

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax...

The purpose of this book is not only to revisit the "significance test controversy,"but also to provide a conceptually sounder alternative. As such, it presents a Bayesian framework for a new appro...

Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspectiveANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach...

How do you perform a MANOVA? What is grounded theory? How do you draw up a repertory grid? These, and many other questions are addressed in this wide-ranging handbook of methods and analytic techni...

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS(R)Performing Data Analysis Using IBM SPSS(R) uniquely addresses the presented statistical procedures wit...

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Clas...

Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory sta...

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Clas...

Theory of Preliminary Test and Stein-Type Estimation with Applications provides a com-prehensive account of the theory and methods of estimation in a variety of standard models used in applied stat...