Statistical Data Analysis for Ocean and Atmospheric Sciences: Includes a Data Disk Designed to Be Used as a Minitab File.
Autor H. Jean Thiebauxen Limba Engleză Hardback – 11 dec 1994
- Specifically designed for students of the ocean and atmospheric sciences
- Contains a disk containing files of real ocean and atmospheric data, in universal ASCII format, on which many of the exercises are based
- Provides succinct yet comprehensive coverage
- Designed to teach students statistical methods with the scientific realism of computer analysis and statistical inference
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Specificații
ISBN-13: 9780126869255
ISBN-10: 0126869251
Pagini: 247
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.51 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0126869251
Pagini: 247
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.51 kg
Editura: ELSEVIER SCIENCE
Public țintă
Oceanographers, meteorologists, and other physical scientists who analyze data from marine and atmospheric systems.Cuprins
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.
Recenzii
"Its innovative style, real-life examples and exercises at the conclusion of chapters, should be found interesting and valuable by readers." --Zbigniew Sorbjan, University of Oklahoma, in PAGEOPH "The text provides a good coverage of the classical distributions of traditional statistics....Overall, the author is to be congratulated for presenting a human oriented, rather than a robot oriented, book about statistics..." --INTERATIONAL JOURNAL OF CLIMATOLOGY