Advanced Statistics from an Elementary Point of ViewAcademic Press, 2005. gada 14. 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.
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No grāmatas satura
1.5. rezultāts no 84.
... Binomial Distribution 197 6.6 The Multinomial Distribution 203 6.7 The Geometric Distribution 206 6.8 The Negative Binomial Distribution 208 6.9 The Poisson Distribution 212 6.10 The Hypergeometric Distribution 218 6.11 The Generalized ...
... Random Sampling from a Normal Population with Unknown Mean 447 A Confidence Interval for p Under Random Sampling from a Binomial Population 451 11.5 11.6 11.7 11.8 11.9 11.10 11.11 11.12 11.13 12.1 12.2 12.3 12.4 Contents.
... Binomial Populations 470 Confidence Interval for the Ratio of Two Variances When Sampling from Two Independent Nonnal Populations 471 Exercises 473. 12. Tests. of. Parametric. Statistical. Hypotheses. 483. Statistical Inference Revisited ...
... Binomial Populations 555 Hypothesis Tests for the Difference of Variances When Sampling from Two Independent Normal Populations 557 Hypothesis Tests for Spearman's Rank Correlation Coefficient pg 559 Exercises 561 13 Nonparametric ...
... Binomial Probabilities 727 Cumulative Distribution Function Values for the Binomial Distribution 733 Poisson Probabilities 738 Fisher's ,6(= r) to 5 Transformation 744 R Distribution for the Runs Test of Randomness W+ Distribution for ...
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 |
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 |