Applied statistics for marine affairs professionals

著者

書誌事項

Applied statistics for marine affairs professionals

Niels West

Praeger, 1996

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注記

Includes bibliographical references (p. [277]-278) and index

内容説明・目次

内容説明

This is the first statistics text to address the unique issues the Marine Affairs professional and student must confront. Marine and coastal resource management is unique in that problem solutions increasingly demand an interdisciplinary approach using data from both the social and natural sciences. This is the first statistics text that addresses marine resource problems using both non-parametric and parametric techniques in a non-intimidating fashion. This is the first statistics text that addresses the unique issues the Marine Affairs professional and student must confront. Since so many of the problems faced by environmental managers are interdisciplinary, involving data and information from a host of disciplines including both natural and social sciences, this volume includes a selected number of both parametric and non-parametric statistical models. The selection of methods has been guided by the type of problems Marine Affairs professionals deal with on a day-to-day basis. The text is written for the non-mathematical reader who may have little or no prior experience in statistics or advanced mathematics. Each chapter is divided into two sections, one which describes the method, followed by one or two fully worked out examples, and concludes with a lab for student use. This volume will be of value to students and professionals involved with the description, analysis, and evaluation of coastal and marine resource issues.

目次

Tables and Figures Exercises Acknowledgments Hypotheses, Theories and Models Histograms The Normal Curve: Statistical Moments Z Scores and Confidence Intervals Student t Test One Sample Runs Test Introduction to SAS Binomial Test Kolmogorov Smirnov Test One Sample Chi Square Test McNemar Test for Significant Change Wilcox Signed Rank Test Median Test Extension of the Median Test Spatial Statistics Sampling Spatial Sampling Techniques Three-Dimensional Spatial Models N x N Chi Square Contingency Analysis Fisher's Exact Probability Test Linkage Tree Analysis Spearman Rank (Non-Parametric) Correlation Kendall's Tau Correlation Coefficient Pearson Product Moment Correlation Partial Correlation Multiple Correlation Regression Standard Error Lines Factor Analysis Network Analysis: Planar and Non-Planar Graphs Appendix Bibliography Index

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