Statistical Data Analysis for Ocean and Atmospheric Sciences: Includes a Data Disk Designed to Be Used as a Minitab File.

Statistical Data Analysis for Ocean and Atmospheric Sciences: Includes a Data Disk Designed to Be Used as a Minitab File.

by H. Jean Thiebaux
ISBN-10:
0126869251
ISBN-13:
9780126869255
Pub. Date:
11/07/1994
Publisher:
Elsevier Science
ISBN-10:
0126869251
ISBN-13:
9780126869255
Pub. Date:
11/07/1994
Publisher:
Elsevier Science
Statistical Data Analysis for Ocean and Atmospheric Sciences: Includes a Data Disk Designed to Be Used as a Minitab File.

Statistical Data Analysis for Ocean and Atmospheric Sciences: Includes a Data Disk Designed to Be Used as a Minitab File.

by H. Jean Thiebaux

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Overview

Studies of local and global phenomena generate descriptions which require statistical analysis. In this text, H. Jean Thiebaux presents a succinct yet comprehensive review of the fundamentals of statistics as they pertain to studies in oceanic and atmospheric sciences. The text includes an accompanying disk with compatible Minitab sample data. Together, this volume and the included data provide insights into the basics of statistical inference, data analysis, and distributional models of variability. Oceanographers, meteorologists, marine biologists, and other environmental scientists will find this book of great value as a statistical tool for their continuing studies.

Product Details

ISBN-13: 9780126869255
Publisher: Elsevier Science
Publication date: 11/07/1994
Pages: 247
Product dimensions: 6.00(w) x 9.00(h) x (d)

Table of Contents

Statistical Analysis and Inference in Science: The Art of Reaching Conclusions at the Interface of Theory and Observation. Data and Data Management: What We Have to Go On or Accumulated Records of Observations and Their Expeditious Reorganization. Descriptive Statistics: First Impressions or Sketching Features of Observed Systems with Data. The Foundations of Inference: Probability Models as Descriptions of Research Outcomes. Stochastic Variables andthe Identification of Their Distributions: Distilling Uncertainty. The Exponential and Uniform Distributions: Describing Uncertainty in Time and Space. The Normal Distributions: Good Approximations for Many Composite Variables. AnalyzingVariability: Establishing Differences between Means and between Variances. Testing Hypotheses: Dealing with the Generic Critic while Establishing Powerful Support for New Ideas. Linear Regression: Analyzing an Influence Network. Bootstrapping: Scientific Inference when None of the Above Apply. Chapter Exercises. References. Subject Index.
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