MARC details
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02620nam a22002537a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20250225181316.0 |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781119944874 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
NISER LIBRARY |
| Language of cataloging |
eng |
| Transcribing agency |
NISER LIBRARY |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
519.217.2 |
| Item number |
MOD-F |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Modica, Giuseppe |
| 245 ## - TITLE STATEMENT |
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| Title |
First course in probability and Markov chains |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc. |
Chichester : |
| Name of publisher, distributor, etc. |
Wiley, |
| Date of publication, distribution, etc. |
2013. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xii, 334 pages |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores notions and structures in probability, including combinatorics, probability measures, probability distributions, conditional probability, inclusion-exclusion formulas, random variables, dispersion indexes, independent random variables as well as weak and strong laws of large numbers and central limit theorem. In the second part of the book, focus is given to Discrete Time Discrete Markov Chains which is addressed together with an introduction to Poisson processes and Continuous Time Discrete Markov Chains. This book also looks at making use of measure theory notations that unify all the presentation, in particular avoiding the separate treatment of continuous and discrete distributions.A First Course in Probability and Markov Chains:<br/><br/>Presents the basic elements of probability.<br/>Explores elementary probability with combinatorics, uniform probability, the inclusion-exclusion principle, independence and convergence of random variables.<br/>Features applications of Law of Large Numbers.<br/>Introduces Bernoulli and Poisson processes as well as discrete and continuous time Markov Chains with discrete states.<br/>Includes illustrations and examples throughout, along with solutions to problems featured in this book.<br/>The authors present a unified and comprehensive overview of probability and Markov Chains aimed at educating engineers working with probability and statistics as well as advanced undergraduate students in sciences and engineering with a basic background in mathematical analysis and linear algebra. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Markov processes |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Probability & statistics |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Poggiolini, Laura |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Materials specified |
Table of content |
| Uniform Resource Identifier |
<a href="https://www.wiley.com/en-us/A+First+Course+in+Probability+and+Markov+Chains-p-9781119944874#tableofcontents-section">https://www.wiley.com/en-us/A+First+Course+in+Probability+and+Markov+Chains-p-9781119944874#tableofcontents-section</a> |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Materials specified |
Reviews |
| Uniform Resource Identifier |
<a href="https://www.goodreads.com/book/show/15869259-a-first-course-in-probability-and-markov-chains#CommunityReviews">https://www.goodreads.com/book/show/15869259-a-first-course-in-probability-and-markov-chains#CommunityReviews</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Universal Decimal Classification |
| Koha item type |
Book |
