Advanced Statistics from an Elementary Point of View

Pirmais vāks
Academic Press, 2005. gada 28. okt. - 802 lappuses

Advanced Statistics from an Elementary Point of View is a highly readable text that communicates the content of a course in mathematical statistics without imposing too much rigor. It clearly emphasizes the connection between statistics and probability, and helps students concentrate on statistical strategies without being overwhelmed by calculations.

The book provides comprehensive coverage of descriptive statistics; detailed treatment of univariate and bivariate probability distributions; and thorough coverage of probability theory with numerous event classifications.

This book is designed for statistics majors who are already familiar with introductory calculus and statistics, and can be used in either a one- or two-semester course. It can also serve as a statistics tutorial or review for working professionals.

Students who use this book will be well on their way to thinking like a statistician in terms of problem solving and decision-making. Graduates who pursue careers in statistics will continue to find this book useful, due to numerous statistical test procedures (both parametric and non-parametric) and detailed examples.



  • Comprehensive coverage of descriptive statistics
  • More detailed treatment of univariate and bivariate probability distributions
  • Thorough coverage of probability theory with numerous event classifications
 

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Saturs

Chapter 1 Introduction
1
Chapter 2 Elementary Descriptive Statistical Techniques
9
Chapter 3 Probability Theory
53
Chapter 4 Random Variables and Probability Distributions
93
Chapter 5 Bivariate Probability Distributions
147
Chapter 6 Discrete Parametric Probability Distributions
187
Chapter 7 Continuous Parametric Probability Distributions
235
Chapter 8 Sampling and the Sampling Distribution of a Statistic
293
Chapter 12 Tests of Parametric Statistical Hypotheses
483
Chapter 13 Nonparametric Statistical Techniques
569
Chapter 14 Testing Goodness of Fit
609
Contingency Tables
643
Chapter 16 Bivariate Linear Regression and Correlation
669
Appendix A
717
Solutions to Selected Exercises
767
References and Suggested Reading
785

Chapter 9 The ChiSquare Students t and Snedecors F Distributions
349
Chapter 10 Point Estimation and Properties of Point Estimators
373
Chapter 11 Interval Estimation and Confidence Interval Estimates
439

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