This book describes methods for designing and analyzing experiments conducted using computer code in lieu of a physical experiment. It discusses how to select the values of the factors at which to run the code (the design of the computer experiment). It also provides techniques for analyzing the resulting data so as to achieve these research goals.

The Design and Analysis of Computer Experiments (Springer Series in Statistics)

Computers & Technology

Notz, William I.

Santner, Thomas J.

Williams, Brian J.

Computer Science

Springer

Sampling and Statistical Methods for Behavioral Ecologists

This book describes the sampling and statistical methods used most often by behavioral ecologists and field biologists. Written by a biologist and two statisticians, it provides a rigorous discussion together with worked examples of statistical concepts and methods that are generally not covered in introductory courses, and which are consequently poorly understood and applied by field biologists. The first section reviews important issues such as defining the statistical population and the sampling plan when using nonrandom methods for sample selection, bias, interpretation of statistical tests, confidence intervals, and multiple comparisons. After a detailed discussion of sampling methods and multiple regression, subsequent chapters discuss specialized problems such as pseudoreplication, and their solutions. This volume will quickly become the favorite statistical handbook for all field biologists.

Science & Math

Fligner, Michael A.

Bart, Jonathan

Biological Sciences

Cambridge University Press

This book describes the sampling and statistical methods used most often by behavioral ecologists and field biologists. Written by a biologist and two statisticians, it provides a rigorous discussion together with worked examples of statistical concepts and methods that are generally not covered in introductory courses, and which are consequently poorly understood and applied by field biologists. The first section reviews important issues such as defining the statistical population and the sampling plan when using nonrandom methods for sample selection, bias, interpretation of statistical tests, confidence intervals, and multiple comparisons. After a detailed discussion of sampling methods and multiple regression, subsequent chapters discuss specialized problems such as pseudoreplication, and their solutions. This volume will quickly become the favorite statistical handbook for all field biologists.

This study guide is designed to accompany the introductory statistical text, Basic Practice of Statistics.

Study Guide for Moore's the Basic Practice of Statistics

Moore, David S.

Busam, Rebecca L.

Mathematics

W.H.Freeman & Co.

Study Guide for Introduction to the Practice of Statistics, Third Edition

W.H.Freeman

This text is a supplement to "The Basic Practice of Statistics: 2nd edition with CD-ROM". It provides statistical software guides for Minitab, Excel, SPSS and SAS.

Student Study Guide for The Basic Practics of Statistics, Second Edition

Busam, Rebecca

This supplement that gives students the opportunity to apply some of the statistical methods they've learned from the book.  Cases come from the EESEE applications.

Case Book for Moore, McCabe, Duckworth, and Sclove's 'The Practice of Buisness Statistics Using Data for Decisions'

Stasny, Elizabeth A.

Pearl, Dennis K.

MOORE

Study Guide, Paperback, Third Edition, 205 Pages, The Basic Practice of Statistics.

The Basic Practice of Statistics, Third Edition (Study Guide)

Statistics: Concepts and Controversies, 6th Edition

Business & Money

Education & Reference

The Practice of Business Statistics Student Solutions Manual

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Books by Notz, William I.