Introduction to probability : models and applications / N. Balakrishnan, Markos V. Koutras, Konstadinos G. Politis.
Material type: TextLanguage: English Series: Wiley series in probability and statisticsPublisher: Hoboken, Nueva Jersey : John Wiley & Sons, Inc., 2020Publisher: @2020 Edition: Primera ediciónDescription: xiii, 608 páginas : ilustraciones, gráficas ; 26 cmContent type: texto Media type: sin mediación Carrier type: volumenISBN: 9781118123348Subject(s): Probabilidades -- Estrategia y técnica | Distribución (teoría de la probabilidad) -- Problemas, ejercicios, etc | Variables aleatorias -- Problemas, ejercicios, etc | EstadísticaDDC classification: 519.2Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Libros |
Biblioteca CESA
Diagonal 34 A No. 5 A - 23 Casa Incolda PBX: 339 53 00 serviciosbiblioteca@cesa.edu.co |
General | 519.2 / B171 2020 (Browse shelf(Opens below)) | Ej.1 | Available (Sin restricciones) | 7109101177 | ||
Libros |
Biblioteca CESA
Diagonal 34 A No. 5 A - 23 Casa Incolda PBX: 339 53 00 serviciosbiblioteca@cesa.edu.co |
General | 519.2 / B171 2020 (Browse shelf(Opens below)) | Ej.2 | Available (Sin restricciones) | 7109101190 |
Incluye bibliografía (603-604)
Incluye índice(605-608)
1. The concept of probability ; 2. Finite sample spaces - combinatorial methods ; 3. Conditional probability - independent events ; 4. Discrete random variables and distributions ; 5. Some important discrete distributions ; 6. Continuous random variables ; 7. Some important continuous distributions.
Introduction to Probability offers an authoritative text that presents the main ideas and concepts, as well as the theoretical background, models, and applications of probability. The authors-noted experts in the field - include a review of problems where probabilistic models naturally arise, and discuss the methodology to tackle these problems. A wide-range of topics are covered that include the concepts of probability and conditional probability, univariate discrete distributions, univariate continuous distributions, along with a detailed presentation of the most important probability distributions used in practice, with their main properties and applications. contraportada.
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