The Cambridge Dictionary of Probability and its Applications PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download The Cambridge Dictionary of Probability and its Applications PDF full book. Access full book title The Cambridge Dictionary of Probability and its Applications by David Stirzaker. Download full books in PDF and EPUB format.
Author: David Stirzaker
Publisher: Cambridge University Press
ISBN: 9781107075160
Category : Mathematics
Languages : en
Pages : 0
Get Book Here
Book Description
Probability comes of age with this, the first dictionary of probability and its applications in English, which supplies a guide to the concepts and vocabulary of this rapidly expanding field. Besides the basic theory of probability and random processes, applications covered here include financial and insurance mathematics, operations research (including queueing, reliability, and inventories), decision and game theory, optimization, time series, networks, and communication theory, as well as classic problems and paradoxes. The dictionary is reliable, stable, concise, and cohesive. Each entry provides a rigorous definition, a sketch of the context, and a reference pointing the reader to the wider literature. Judicious use of figures makes complex concepts easier to follow without oversimplifying. As the only dictionary on the market, this will be a guiding reference for all those working in, or learning, probability together with its applications.
Author: David Stirzaker
Publisher: Cambridge University Press
ISBN: 9781107075160
Category : Mathematics
Languages : en
Pages : 0
Get Book Here
Book Description
Probability comes of age with this, the first dictionary of probability and its applications in English, which supplies a guide to the concepts and vocabulary of this rapidly expanding field. Besides the basic theory of probability and random processes, applications covered here include financial and insurance mathematics, operations research (including queueing, reliability, and inventories), decision and game theory, optimization, time series, networks, and communication theory, as well as classic problems and paradoxes. The dictionary is reliable, stable, concise, and cohesive. Each entry provides a rigorous definition, a sketch of the context, and a reference pointing the reader to the wider literature. Judicious use of figures makes complex concepts easier to follow without oversimplifying. As the only dictionary on the market, this will be a guiding reference for all those working in, or learning, probability together with its applications.
Author: David Stirzaker
Publisher: Cambridge University Press
ISBN: 1139441035
Category : Mathematics
Languages : en
Pages : 540
Get Book Here
Book Description
Now available in a fully revised and updated second edition, this well established textbook provides a straightforward introduction to the theory of probability. The presentation is entertaining without any sacrifice of rigour; important notions are covered with the clarity that the subject demands. Topics covered include conditional probability, independence, discrete and continuous random variables, basic combinatorics, generating functions and limit theorems, and an introduction to Markov chains. The text is accessible to undergraduate students and provides numerous worked examples and exercises to help build the important skills necessary for problem solving.
Author: Roman Vershynin
Publisher: Cambridge University Press
ISBN: 1108415199
Category : Business & Economics
Languages : en
Pages : 299
Get Book Here
Book Description
An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
Author: Geoffrey Grimmett
Publisher:
ISBN: 0198847610
Category : Mathematics
Languages : en
Pages : 593
Get Book Here
Book Description
This volume of more than 1300 exercises and solutions in probability theory has two roles. It is both a freestanding book of exercises and solutions in probability theory, and a manual for students and teachers covering the exercises and problems in the companion volume Probability Theory and Random Processes, 4e.
Author: Anirban DasGupta
Publisher: Springer Science & Business Media
ISBN: 1441996346
Category : Mathematics
Languages : en
Pages : 796
Get Book Here
Book Description
This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in its unification of probability and statistics, its coverage and its superb exercise sets, detailed bibliography, and in its substantive treatment of many topics of current importance. This book can be used as a text for a year long graduate course in statistics, computer science, or mathematics, for self-study, and as an invaluable research reference on probabiliity and its applications. Particularly worth mentioning are the treatments of distribution theory, asymptotics, simulation and Markov Chain Monte Carlo, Markov chains and martingales, Gaussian processes, VC theory, probability metrics, large deviations, bootstrap, the EM algorithm, confidence intervals, maximum likelihood and Bayes estimates, exponential families, kernels, and Hilbert spaces, and a self contained complete review of univariate probability.
Author: Dr. Deo Datta Aarya
Publisher: Academic Guru Publishing House
ISBN: 8119338472
Category : Study Aids
Languages : en
Pages : 219
Get Book Here
Book Description
Probability is a branch of mathematics that quantifies uncertainty and the likelihood of events occurring. It provides a framework for measuring and analyzing the chances of different outcomes in various situations. Probability is expressed as a number between 0 and 1, where 0 indicates impossibility and 1 represents certainty. Statistics is the discipline concerned with collecting, analyzing, interpreting, and presenting data. It involves the study of data variability, patterns, and relationships to uncover insights and draw meaningful conclusions. Statistics provides methods and techniques to summarize, organize, and visualize data, and to make inferences about populations based on sample data. From its insightful explanations to its engaging examples, "Probability and Statistics" takes readers on an enlightening journey through the core principles and applications of probability and statistics. Drawing on real-world scenarios and practical problems, the book provides a solid foundation for understanding and applying these essential mathematical tools. Here the probability and statistics in a clear and accessible manner, catering to both beginners and those seeking a deeper understanding. We will delve into key concepts such as random variables, probability distributions, hypothesis testing, regression analysis, and much more. Through illustrative examples, practical applications, and problem-solving exercises, we will guide you on a progressive journey from the fundamentals to more advanced topics.
Author: Judea Pearl
Publisher: Cambridge University Press
ISBN: 052189560X
Category : Computers
Languages : en
Pages : 487
Get Book Here
Book Description
Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...
Author: Rick Durrett
Publisher: Cambridge University Press
ISBN: 1139480731
Category : Mathematics
Languages : en
Pages : 255
Get Book Here
Book Description
This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management.
Author: David Stirzaker
Publisher: Cambridge University Press
ISBN: 9780521644457
Category : Mathematics
Languages : en
Pages : 388
Get Book Here
Book Description
This concise introduction to probability theory is written in an informal tutorial style with concepts and techniques defined and developed as necessary. Examples, demonstrations, and exercises are used to explore ways in which probability is motivated by, and applied to, real life problems in science, medicine, gaming and other subjects of interest. It assumes minimal prior technical knowledge and is suitable for students taking introductory courses, those needing a working knowledge of probability theory and anyone interested in this endlessly fascinating and entertaining subject.
Author:
Publisher: Springer
ISBN: 1349588024
Category : Law
Languages : en
Pages : 7493
Get Book Here
Book Description
The award-winning The New Palgrave Dictionary of Economics, 2nd edition is now available as a dynamic online resource. Consisting of over 1,900 articles written by leading figures in the field including Nobel prize winners, this is the definitive scholarly reference work for a new generation of economists. Regularly updated! This product is a subscription based product.
