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Probability theory and mathematical statistics for engineers /
Probability Theory and Mathematical Statistics for Engineers.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés Ruso |
| Publicado: |
Oxford ; New York :
Pergamon Press,
1984.
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Pugachev, V. S. |q (Vladimir Semenovich) | |
| 240 | 1 | 0 | |a Teori�i�a vero�i�atnoste�i i matematicheska�i�a statistika. |l English |
| 245 | 1 | 0 | |a Probability theory and mathematical statistics for engineers / |c by V.S. Pugachev ; translated by I.V. Sini�t�syna ; translation editor, P. Eykhoff. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Oxford ; |a New York : |b Pergamon Press, |c 1984. | |
| 300 | |a 1 online resource (xvii, 450 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Translation of: Teori�i�a vero�i�atnoste�i i matematicheska�i�a statistika. | ||
| 504 | |a Includes bibliographical references (pages 439-444) and index. | ||
| 588 | 0 | |a Print version record. | |
| 506 | |3 Use copy |f Restrictions unspecified |2 star |5 MiAaHDL | ||
| 533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2010. |5 MiAaHDL | ||
| 538 | |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |u http://purl.oclc.org/DLF/benchrepro0212 |5 MiAaHDL | ||
| 583 | 1 | |a digitized |c 2010 |h HathiTrust Digital Library |l committed to preserve |2 pda |5 MiAaHDL | |
| 505 | 0 | |a Front Cover; Probability Theoryand Mathematical Statisticsfor Engineers; Copyright Page; PREFACE; Table of Contents; CHAPTER 1. PROBABILITIES OF EVENTS; 1.1. Random phenomena; 1.2. Statistical approach to the description of random phenomena; 1.3. Direct evaluation of probabilities; 1.4. Operations with events; 1.5. Axioms of probability theory; 1.6. Conditional probabilities; 1.7. Probabilities of complex events; 1.8. Repeated trials; 1.9. Poisson distribution; CHAPTER 2. RANDOM VARIABLES; 2.1. General definitions. Discrete random variables. | |
| 505 | 8 | |a 2.2. Continuous random variables. Density of a random variable2.3. Generalization of the density concept; 2.4. Distribution function; 2.5. Entropy of a distribution; CHAPTER 3. NUMERICAL CHARACTERISTICSOF RANDOM VARIABLES; 3.1. Expectation; 3.2. Characteristics of the scatter; 3.3. Second-order moments of random vectors; 3.4. Canonical expansions of random vectors; 3.5. Other numerical characteristics of random variables; 3.6. One-dimensional normal distribution; CHAPTER 4. PROJECTIONS OF RANDOM VECTORSAND THEIR DISTRIBUTIONS; 4.1. Distributions of projections of a random vector. | |
| 505 | 8 | |a 4.2. Conditional distributions of projections of a random vector4.3. Conditional numerical characteristics; 4.4. Characteristic functions of random variables; 4.5. Multi-dimensional normal distribution; 4.6. Information contained in random variables; CHAPTER 5. FUNCTIONS OF RANDOM VARIABLES; 5.1. Moments of functions of random variables; 5.2. Distribution function of a function of a random variable; 5.3. Density of a function of a random variable; 5.4. Limit theorems; 5.5. Information contained in transformed random variables; CHAPTER 6. ESTIMATION OF PARAMETERS OF DISTRIBUTIONS. | |
| 505 | 8 | |a 6.1. Main problems of mathematical statistics6.2. Estimation of statistical characteristics; 6.3. Frequency as a probability estimate; 6.4. Estimation of the expectation and variance of a random variable; 6.5. Estimation of the expectation and covariance matrix of a random vector; 6.6. Testing hypotheses about parameters of distributions; CHAPTER 7. ESTIMATOR THEORY; 7.1. General properties of estimators; 7.2. Main methods for finding estimators; 7.3. Recursive estimation of the root of a regression equation; 7.4. Recursive estimation of the extremum point of a regression. | |
| 505 | 8 | |a CHAPTER 8. ESTIMATION OF DISTRIBUTIONS8.1. Estimators of densities and distribution functions; 8.2. Approximate representation of distributions; 8.3. Testing hypotheses about distributions; 8.4. Statistical simulation methods; CHAPTER 9. STATISTICAL MODELS, I; 9.1. Mathematical models; 9.2. Regression models; 9.3. Estimation of regressions; 9.4. Testing hypotheses about regressions; 9.5. Analysis of variance; CHAPTER 10. STATISTICAL MODELS, II; 10.1. Models described by difference equations; 10.2. Estimation of random variables determined by difference equations; 10.3. Factor models. | |
| 520 | |a Probability Theory and Mathematical Statistics for Engineers. | ||
| 650 | 0 | |a Probabilities. | |
| 650 | 0 | |a Mathematical statistics. | |
| 650 | 2 | |a Probability |0 (DNLM)D011336 | |
| 650 | 6 | |a Probabilit�es. |0 (CaQQLa)201-0011592 | |
| 650 | 7 | |a probability. |2 aat |0 (CStmoGRI)aat300055653 | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Mathematical statistics |2 fast |0 (OCoLC)fst01012127 | |
| 650 | 7 | |a Probabilities |2 fast |0 (OCoLC)fst01077737 | |
| 653 | |a Probabilities & statistical mathematics | ||
| 776 | 0 | 8 | |i Print version: |a Pugachev, V.S. (Vladimir Semenovich). |s Teori�i�a vero�i�atnoste�i i matematicheska�i�a statistika. English. |t Probability theory and mathematical statistics for engineers. |b First edition |z 0080291481 |w (DLC) 82013189 |w (OCoLC)8626756 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780080291482 |z Texto completo |