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Introduction to applied probability /
Introduction to Applied Probability.
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Academic Press,
[1973]
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 001 | SCIDIR_ocn892067081 | ||
| 003 | OCoLC | ||
| 005 | 20231120111750.0 | ||
| 006 | m o d | ||
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| 008 | 141003s1973 nyu ob 000 0 eng d | ||
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| 020 | |a 9781483277202 |q (electronic bk.) | ||
| 020 | |a 1483277208 |q (electronic bk.) | ||
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| 020 | |z 9780125531504 | ||
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| 100 | 1 | |a Pfeiffer, Paul E. | |
| 245 | 1 | 0 | |a Introduction to applied probability / |c Paul E. Pfeiffer [and] David A. Schum. |
| 264 | 1 | |a New York : |b Academic Press, |c [1973] | |
| 300 | |a 1 online resource (xv, 403 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references (pages 387-388). | ||
| 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 2011. |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 2011 |h HathiTrust Digital Library |l committed to preserve |2 pda |5 MiAaHDL | |
| 505 | 0 | |a Front Cover; Introduction to Applied Probability; Copyright Page; Table of Contents; Preface; Acknowledgments; Part I. INTRODUCTION; Chapter 1. An Approach to Probability; INTRODUCTION; 1-1. Classical Probability; 1-2. Toward a More General Theory; Chapter 2. Some Elementary Strategies of Counting; Introduction; 2-1. Basic Principles; 2-2. Arrangements; 2-3. Binomial Coefficients; 2-4. Verification of the Formulas for Arrangements; 2-5. A Formal Representation of the Arrangement Problem; 2-6. An Occupancy Problem Equivalent to the Arrangement Problem | |
| 505 | 8 | |a 2-7. Some Problems Utilizing Elementary Arrangements and Occupancy Situations as Component OperationsProblems; PART II . BASIC PROBABILITY MODEL; Chapter 3. Sets and Events; Introduction; 3-1. A Well-Defined Trial and Its Possible Outcomes; 3-2. Events and the Occurrence of Events; 3-3. Special Events and Compound Events; 3-4. Classes of Events; 3-5. Techniques for Handling Events; Problems; Chapter 4. A Probability System; Introduction; 4-1. Requirements for a Formal Probability System; 4-2. Basic Properties of a Probability System; 4-3. Derived Properties of the Probability System | |
| 505 | 8 | |a 4-4. A Physical Analogy: Probability as Mass4-5. Probability Mass Assignment on a Discrete Basic Space; 4-6. On the Determination of Probabilities; 4-7. Supplementary Examples; Problems; Chapter 5. Conditional Probability; Introduction; 5-1. Conditioning and the Assignment of Probabilities; 5-2. Some Properties of Conditional Probability; 5-3. Supplementary Examples; 5-4. Repeated Conditioning; 5-5. Some Patterns of Inference; Problems; Chapter 6. Independence in Probability Theory; Introduction; 6-1. The Defining Condition; 6-2. Some Elementary Properties; 6-3. Independent Classes of Events | |
| 505 | 8 | |a 6-4. Conditional Independence6-5. Supplementary Examples; Problems; Chapter 7. Composite Trials and Sequences of Events; Introduction; 7-1. Composite Trials; 7-2. Repeated Trials; 7-3. Bernoulli Trials; 7-4. Sequences of Events; Problems; PART III . RANDOM VARIABLES; Chapter 8. Random Variables; Introduction; 8-1. The Random Variable as a Function; 8-2. Functions as Mappings; 8-3. Events Determined by a Random Variable; 8-4. The Indicator Function; 8-5. Discrete Random Variables; 8-6. Mappings and Inverse Images for Simple Random Variables; 8-7. Mappings and Mass Transfer | |
| 505 | 8 | |a 8-8. Approximation by Simple Random VariablesProblems; Chapter 9. Distribution and Density Functions; Introduction; 9-1. Some Introductory Examples; 9-2. The Probability Distribution Function; 9-3. Probability Mass and Density Functions; 9-4. Additional Examples of Probability Mass Distributions; Problems; Chapter 10. Joint Probability Distributions; Introduction; 10-1. Joint Mappings; 10-2. Joint Distributions; 10-3. Marginal Distributions; 10-4. Properties of Joint Distribution Functions; 10-5. Mass and Density Functions; 10-6. Mixed Distributions; Problems | |
| 520 | |a Introduction to Applied Probability. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Probabilities. | |
| 650 | 2 | |a Probability |0 (DNLM)D011336 | |
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| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
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| 700 | 1 | |a Schum, David A., |e author. | |
| 776 | 0 | 8 | |i Print version: |a Pfeiffer, Paul E. |t Introduction to applied probability |z 0125531508 |w (DLC) 72082640 |w (OCoLC)627895 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780125531504 |z Texto completo |