03561nam a2200181 4500 6766 6766 0704228646 QA276 .M77 Mood, Alexander M. Introduction to the theory of statistics Alexander M. Mood, Franklin A Graybill & Duane C. Boes 3rd ed. New York McGraw-Hill, Inc. 1974 xvi, 564p. : 24cm. McGraw-Hill Series in Probability and Satistics Statistics Part 1. Probability Chapter 1. Introduction and Summary Chapter 2. Kinds of Probability Chapter 3. Probability -Axiomatic Part II Random Variables, Distributions Functions, and Expectation Chapter 1. Introduction and Summary Chapter 2. Random Variable and Cummulative Distribution Function Chapter 3. Destiny Functions Chapter 4. Expectations and Moments Part III Special Parametric Families of Universities Distributions Chapter 1. Introduction and Summary Chapter 2. Discrete Distribution Chapter 3. Continuous Distribution Chapter 4. Comments Part IV Joint and Conditional Distributions, Stochastic Independence, More Expectation Chapter 1. Introduction and Summary Chapter 2. Joint Distribution Functions Chapter 3. Conditional Distribution and Stochastic Independence Chapter 4. Expectation Chapter 5. Bivariate Normal Distribution Part V Distribution of Functions of Random Variables Chapter 1. Introduction and Summary Chapter 2. Expectations of Functions of Random Variables Chapter 3. Cumulative-distributions of Functions of Random Variables Chapter 4. Moment-generating-function Technique Chapter 5. The Transformation Y=g (X) Chapter 6. Transformation Part VI. Sampling and Sampling Distributions Chapter 1. Introduction and Summary Chapter 2. Sampling Chapter 3. Sample Mean Chapter 4. Sampling from the Normal Distributions Part VII Parametric Point Estimation Chapter 1. Introduction and Summary Chapter 2. Methods of Finding Estimates Chapter 3. Properties of Point Estimation Chapter 4. Sufficiency Chapter 5. Unbiased Estimation Chapter 6. Location or Scale Invariance Chapter 7. Bayes Estimators Chapter 8. Vector of Parameters Chapter 9. Optimum Properties of Maximum-likelihood Estimation VIII Parametric Interval Estimation Chapter 1. Introduction and Summary Chapter 2. Confidence Intervals Chapter 3. Sampling from the Normal Distribution Chapter 4. Methods of finding Confidence Intervals Chapter 5. Large-Sample Confidence Interval Chapter 6. Bayesian Interval Estimates Part IX Test of Hypotheses Chapter 1. Introduction and Summary Chapter 2. Simple Hypothesis versus Simple Alternative Chapter 3. Composite Hypotheses Chapter 4. Tests of Hypotheses - Sampling from the Normal Distribution Chapter 5. Chi-Square Test Chapter 6. Tests of Hypotheses - Sampling from the Normal Distribution Chapter 7. Sequential Test of Hypotheses Part X Linear Models Chapter 1. Introduction and Summary Chapter 2. Examples of the Linear Model Chapter 3. Definition of Linear Model Chapter 4. Point Estimation - Case A Chapter 5. Confidence Intervals - Case A Chapter 6. Test of Hypotheses - Case A Chapter 7. Point Estimation Part XI Nonparametric Methods Chapter 1. Introduction and Summary Chapter 2. Inferences Concerning a Cumulative Distribution Function Chapter 3. Inferences Concerning Qualities Chapter 4. Tolerance limits Chapter 5. Equality of Two Distribution Statistics BK 0 0 0 0 REF MUCGM MUCGM GEN 2013-07-21 0 QA276 .M77 38048 2019-11-21 00:00:00 2019-11-21 BK