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Sampling and Statistical Methods for Behavioral Ecologists (Hardcover): Jonathan Bart, Michael A. Fligner, William I. Notz Sampling and Statistical Methods for Behavioral Ecologists (Hardcover)
Jonathan Bart, Michael A. Fligner, William I. Notz
R2,978 Discovery Miles 29 780 Ships in 12 - 19 working days

This 1998 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 non-random 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. It will quickly become the statistical handbook for all field biologists.

The Basic Practice of Statistics (Paperback, 9th ed.): David S Moore, William I. Notz, Michael A. Fligner The Basic Practice of Statistics (Paperback, 9th ed.)
David S Moore, William I. Notz, Michael A. Fligner
R8,825 Discovery Miles 88 250 Ships in 10 - 15 working days
Probability Models and Statistical Analyses for Ranking Data (Paperback, Softcover reprint of the original 1st ed. 1993):... Probability Models and Statistical Analyses for Ranking Data (Paperback, Softcover reprint of the original 1st ed. 1993)
Michael A. Fligner, Joseph S Verducci
R2,886 Discovery Miles 28 860 Ships in 10 - 15 working days

In June of 1990, a conference was held on Probablity Models and Statisti cal Analyses for Ranking Data, under the joint auspices of the American Mathematical Society, the Institute for Mathematical Statistics, and the Society of Industrial and Applied Mathematicians. The conference took place at the University of Massachusetts, Amherst, and was attended by 36 participants, including statisticians, mathematicians, psychologists and sociologists from the United States, Canada, Israel, Italy, and The Nether lands. There were 18 presentations on a wide variety of topics involving ranking data. This volume is a collection of 14 of these presentations, as well as 5 miscellaneous papers that were contributed by conference participants. We would like to thank Carole Kohanski, summer program coordinator for the American Mathematical Society, for her assistance in arranging the conference; M. Steigerwald for preparing the manuscripts for publication; Martin Gilchrist at Springer-Verlag for editorial advice; and Persi Diaconis for contributing the Foreword. Special thanks go to the anonymous referees for their careful readings and constructive comments. Finally, we thank the National Science Foundation for their sponsorship of the AMS-IMS-SIAM Joint Summer Programs. Contents Preface vii Conference Participants xiii Foreword xvii 1 Ranking Models with Item Covariates 1 D. E. Critchlow and M. A. Fligner 1. 1 Introduction. . . . . . . . . . . . . . . 1 1. 2 Basic Ranking Models and Their Parameters 2 1. 3 Ranking Models with Covariates 8 1. 4 Estimation 9 1. 5 Example. 11 1. 6 Discussion. 14 1. 7 Appendix . 15 1. 8 References."

Sampling and Statistical Methods for Behavioral Ecologists (Paperback): Jonathan Bart, Michael A. Fligner, William I. Notz Sampling and Statistical Methods for Behavioral Ecologists (Paperback)
Jonathan Bart, Michael A. Fligner, William I. Notz
R1,432 Discovery Miles 14 320 Ships in 12 - 19 working days

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.

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