Isbn: 9780471458920 - probability: modeling and applications to random processes (26 resultados)

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Hardcover. Condición: Good. This book is in good condition; no remainder marks. The book has some shelfwear. Some sparse highlighted passages: most pages are clean. ; 165 X 28.7 X 238.5 millimeters; 488 pages.

gebundene Ausgabe. Condición: Gut. Auflage: 1. 459 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 815.

Condición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

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Condición: New. pp. xxiii + 459 Illus.

Condición: New. pp. xxiii + 459 1st Edition.

Condición: New. Written by an enthusiastic educator known for his dynamic teaching, Probability: Modeling and Applications to Random Processes focuses on modeling outcomes of random variables and random processes. Num Pages: 488 pages, Illustrations. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 236 x 161 x 27. Weight in Grams: 800. . 2006. 1st Edition. Hardcover. . . . . …

Gebunden. Condición: New. GREGORY K. MILLER, PHD, is Associate Professor of Statistics in the Department of Mathematics and Statistics at Stephen F. Austin State University in Nacogdoches, Texas. He is a coauthor, with U. Narayan Bhat, of Elements of Applied Stochastic Processes, Th.

Hardcover. Condición: Brand New. 1st edition. 459 pages. 9.50x6.50x1.25 inches. In Stock.

Buch. Condición: Neu. Neuware - Improve Your Probability of Mastering This TopicThis book takes an innovative approach to calculus-based probability theory, considering it within a framework for creating models of random phenomena. The author focuses on the synthesis of stochastic models concurrent with the development of distribution theory while also introducing the reader to basic statistical inference. In this way, the major stochastic processes are blended with coverage of probability laws, random variables, and distribution theory, equipping the reader to be a true problem solver and critical thinker.Deliberately conversational in tone, Probability is written for students in junior- or senior-level probability courses majoring in mathematics, statistics, computer science, or engineering. The book offers a lucid and mathematicallysound introduction to how probability is used to model random behavior in the natural world. The text contains the following chapters:\* Modeling\* Sets and Functions\* Probability Laws I: Building on the Axioms\* Probability Laws II: Results of Conditioning\* Random Variables and Stochastic Processes\* Discrete Random Variables and Applications in Stochastic Processes\* Continuous Random Variables and Applications in Stochastic Processes\* Covariance and Correlation Among Random VariablesIncluded exercises cover a wealth of additional concepts, such as conditional independence, Simpson's paradox, acceptance sampling, geometric probability, simulation, exponential families of distributions, Jensen's inequality, and many non-standard probability distributions.…

Condición: New. Written by an enthusiastic educator known for his dynamic teaching, Probability: Modeling and Applications to Random Processes focuses on modeling outcomes of random variables and random processes. Num Pages: 488 pages, Illustrations. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 236 x 161 x 27. Weight in Grams: 800. . 2006. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Condición: gut. 2006. Probability: Modeling and Applications to Random Processes. In englischer Sprache. pages.

Hardcover. Condición: new. Hardcover. Improve Your Probability of Mastering This Topic This book takes an innovative approach to calculus-based probability theory, considering it within a framework for creating models of random phenomena. The author focuses on the synthesis of stochastic models concurrent with the development of distribution theory while also introducing the reader to basic statistical inference. In this way, the major stochastic processes are blended with coverage of probability laws, random variables, and distribution theory, equipping the reader to be a true problem solver and critical thinker. Deliberately conversational in tone, Probability is written for students in junior- or senior-level probability courses majoring in mathematics, statistics, computer science, or engineering. The book offers a lucid and mathematicallysound introduction to how probability is used to model random behavior in the natural world. The text contains the following chapters: * Modeling * Sets and Functions * Probability Laws I: Building on the Axioms * Probability Laws II: Results of Conditioning * Random Variables and Stochastic Processes * Discrete Random Variables and Applications in Stochastic Processes * Continuous Random Variables and Applications in Stochastic Processes * Covariance and Correlation Among Random Variables Included exercises cover a wealth of additional concepts, such as conditional independence, Simpson's paradox, acceptance sampling, geometric probability, simulation, exponential families of distributions, Jensen's inequality, and many non-standard probability distributions. Written by an enthusiastic educator known for his dynamic teaching, Probability: Modeling and Applications to Random Processes focuses on modeling outcomes of random variables and random processes. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condición: Brand New. 1st edition. 459 pages. 9.50x6.50x1.25 inches. In Stock. This item is printed on demand.