introduction probability mathematical statistics von tucker (7 Ergebnisse)

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:

Hardcover. Zustand: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.3.

First Edition. Near fine cloth copy in a good if slightly edge-torn and dust-dulled dust-wrapper, now mylar-sleeved. Remains particularly well-preserved overall; tight, bright, clean and strong. Physical description; 228 p. Notes; Includes bibliographical references and index. Contents; Front Cover; An Introduction to Probability and Mathematical Statistics; Copyright Page; Dedication; Preface; Table of Contents; Chapter 1. Events and Probabilities; 1.1 Combinatorial Probability; 1.2 The Fundamental Probability Set and the Algebra of Events; 1.3 The Axioms of a Probability Space; Chapter 2. Dependent and Independent Events; 2.1 Conditional Probability; 2.2 Stochastic Independence; 2.3 An Application in Physics of the Notion of Independence; Chapter 3. Random Variables and Probability Distributions; 3.1 The Definition of a Function; 3.2 The Definition of a Random Variable 3.3 Combinations of Random Variables3.4 Distribution Functions; 3.5 Multivariate Distribution Functions; Chapter 4. Discrete Distributions; 4.1 Univariate Discrete Distributions; 4.2 The Binomial and Pascal Distributions; 4.3 The Hypergeometric Distribution; 4.4 The Poisson Distribution; 4.5 Multivariate Discrete Densities; Chapter 5. Absolutely Continuous Distributions; 5.1 Absolutely Continuous Distributions; 5.2 Densities of Functions of Random Variables; Chapter 6. Some Special Absolutely Continuous Distributions; 6.1 The Gamma and Beta Functions; 6.2 The Normal Distribution 6.3 The Negative Exponential Distribution6.4 The Chi-Square Distribution; 6.5 The F-Distribution and the t-Distribution; Chapter 7. Expectation and Limit Theorems; 7.1 Definition of Expectation; 7.2 Expectation of Functions of Random Variables; 7.3 Moments and Central Moments; 7.4 Convergence in Probability; 7.5 Limit Theorems; Chapter 8. Point Estimation; 8.1 Sampling; 8.2 Unbiased and Consistent Estimates; 8.3 The Method of Moments; 8.4 Minimum Variance Estimates; 8.5 The Principle of Maximum Likelihood; Chapter 9. Notes on Matrix Theory; Chapter 10. The Multivariate Normal Distribution 10.1 The Multivariate Normal Density10.2 Properties of the Multivariate Normal Distribution; 10.3 Cochran's Theorem; 10.4 Proof of the Independence of the Sample Mean and Sample Variance for a Normal Population; Chapter 11. Testing Statistical Hypotheses: Simple Hypothesis vs. Simple Alternative; 11.1 Fundamental Notions of Hypothesis Testing; 11.2 Simple Hypothesis vs. Simple Alternative; 11.3 The Neyman-Pearson Fundamental Lemma; 11.4 Randomized Tests; Chapter 12. Testing Simple and Composite Hypotheses; 12.1 Uniformly Most Powerful Critical Regions; 12.2 The Likelihood Ratio Test 12.3 The t-Test12.4 The Analysis of Variance; Chapter 13. Confidence Intervals; 13.1 The Neyman Theory of Confidence Intervals; 13.2 The Relation between Confidence Intervals and Tests of Hypotheses; 13.3 Necessary and Sufficient Conditions for the Existence of Confidence Intervals; Suggested Reading; Tables I-IV; Index. Subject; Probabilities. Mathematical statistics. probability. applied mathematics. mathematics. 1 Kg.

First Edition. Near fine cloth copy in a good if slightly edge-torn and dust-dulled dust-wrapper, now mylar-sleeved. Remains particularly well-preserved overall; tight, bright, clean and strong. Physical description; 228 p. Notes; Includes bibliographical references and index. Contents; Front Cover; An Introduction to Probability and Mathematical Statistics; Copyright Page; Dedication; Preface; Table of Contents; Chapter 1. Events and Probabilities; 1.1 Combinatorial Probability; 1.2 The Fundamental Probability Set and the Algebra of Events; 1.3 The Axioms of a Probability Space; Chapter 2. Dependent and Independent Events; 2.1 Conditional Probability; 2.2 Stochastic Independence; 2.3 An Application in Physics of the Notion of Independence; Chapter 3. Random Variables and Probability Distributions; 3.1 The Definition of a Function; 3.2 The Definition of a Random Variable 3.3 Combinations of Random Variables3.4 Distribution Functions; 3.5 Multivariate Distribution Functions; Chapter 4. Discrete Distributions; 4.1 Univariate Discrete Distributions; 4.2 The Binomial and Pascal Distributions; 4.3 The Hypergeometric Distribution; 4.4 The Poisson Distribution; 4.5 Multivariate Discrete Densities; Chapter 5. Absolutely Continuous Distributions; 5.1 Absolutely Continuous Distributions; 5.2 Densities of Functions of Random Variables; Chapter 6. Some Special Absolutely Continuous Distributions; 6.1 The Gamma and Beta Functions; 6.2 The Normal Distribution 6.3 The Negative Exponential Distribution6.4 The Chi-Square Distribution; 6.5 The F-Distribution and the t-Distribution; Chapter 7. Expectation and Limit Theorems; 7.1 Definition of Expectation; 7.2 Expectation of Functions of Random Variables; 7.3 Moments and Central Moments; 7.4 Convergence in Probability; 7.5 Limit Theorems; Chapter 8. Point Estimation; 8.1 Sampling; 8.2 Unbiased and Consistent Estimates; 8.3 The Method of Moments; 8.4 Minimum Variance Estimates; 8.5 The Principle of Maximum Likelihood; Chapter 9. Notes on Matrix Theory; Chapter 10. The Multivariate Normal Distribution 10.1 The Multivariate Normal Density10.2 Properties of the Multivariate Normal Distribution; 10.3 Cochran's Theorem; 10.4 Proof of the Independence of the Sample Mean and Sample Variance for a Normal Population; Chapter 11. Testing Statistical Hypotheses: Simple Hypothesis vs. Simple Alternative; 11.1 Fundamental Notions of Hypothesis Testing; 11.2 Simple Hypothesis vs. Simple Alternative; 11.3 The Neyman-Pearson Fundamental Lemma; 11.4 Randomized Tests; Chapter 12. Testing Simple and Composite Hypotheses; 12.1 Uniformly Most Powerful Critical Regions; 12.2 The Likelihood Ratio Test 12.3 The t-Test12.4 The Analysis of Variance; Chapter 13. Confidence Intervals; 13.1 The Neyman Theory of Confidence Intervals; 13.2 The Relation between Confidence Intervals and Tests of Hypotheses; 13.3 Necessary and Sufficient Conditions for the Existence of Confidence Intervals; Suggested Reading; Tables I-IV; Index. Subject; Probabilities. Mathematical statistics. probability. applied mathematics. mathematics. 1 Kg.

Hardcover. Zustand: Good with no dust jacket. 228 pages. part of the Academic Press Textbooks in Mathematics series. call # inked out on spine, sticker on rear cover and last page, pocket on inside rear cover, stamped on page edges, typical internal stamps including withdrawn stamp. ; Ex University Library; 6 1/8 x 9 1/8".

Paperback. Zustand: Brand New. 240 pages. 9.25x6.25x0.57 inches. In Stock.

Leatherbound. Zustand: NEW. Leatherbound edition. Condition: New. Leather Binding on Spine and Corners with Golden leaf printing on spine. Bound in genuine leather with Satin ribbon page markers and Spine with raised gilt bands. Pages: 256. A perfect gift for your loved ones. Reprinted from 1963 edition. NO changes have been made to the original text. This is NOT a retyped or an ocr'd reprint. Illustrations, Index, if any, are included in black and white. Each page is checked manually before printing. As this print on demand book is reprinted from a very old book, there could be some missing or flawed pages, but we always try to make the book as complete as possible. Fold-outs, if any, are not part of the book. If the original book was published in multiple volumes then this reprint is of only one volume, not the whole set. IF YOU WISH TO ORDER PARTICULAR VOLUME OR ALL THE VOLUMES YOU CAN CONTACT US. Resized as per current standards. Sewing binding for longer life, where the book block is actually sewn (smythe sewn/section sewn) with thread before binding which results in a more durable type of binding. Language: English Pages: 256.