Author: Richard W. Hamming Publisher: CRC Press ISBN: 0429961502 Category : Mathematics Languages : en Pages : 364
Book Description
Offering accessible and nuanced coverage, Richard W. Hamming discusses theories of probability with unique clarity and depth. Topics covered include the basic philosophical assumptions, the nature of stochastic methods, and Shannon entropy. One of the best introductions to the topic, The Art of Probability is filled with unique insights and tricks worth knowing.
Author: Richard C. Jeffrey Publisher: Cambridge University Press ISBN: 9780521397704 Category : Mathematics Languages : en Pages : 262
Book Description
Spanning a period of 35 years, this collection of essays includes some of the classic works of one of the most distinquished and influential philosophers working in the field of decision theory and the theory of knowledge.
Author: Richard Wesley Hamming Publisher: Addison-Wesley Longman ISBN: 9780201510584 Category : Probabilities Languages : en Pages : 344
Book Description
The methods and styles of thinking necessary for probabilistic problem-solving are discussed examples and a table of results are included and the application of computers and simulation to probability theory are also explored.
Author: Richard W. Hamming Publisher: Courier Corporation ISBN: 0486138879 Category : Mathematics Languages : en Pages : 882
Book Description
This 4-part treatment begins with algebra and analytic geometry and proceeds to an exploration of the calculus of algebraic functions and transcendental functions and applications. 1985 edition. Includes 310 figures and 18 tables.
Author: T. T. Soong Publisher: John Wiley & Sons ISBN: 0470868155 Category : Mathematics Languages : en Pages : 406
Book Description
This textbook differs from others in the field in that it has been prepared very much with students and their needs in mind, having been classroom tested over many years. It is a true “learner’s book” made for students who require a deeper understanding of probability and statistics. It presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. Furthermore, the inclusion of more than 100 examples and 200 exercises (carefully selected from a wide range of topics), along with a solutions manual for instructors, means that this text is of real value to students and lecturers across a range of engineering disciplines. Key features: Presents the fundamentals in probability and statistics along with relevant applications. Explains the concept of probabilistic modelling and the process of model selection, verification and analysis. Definitions and theorems are carefully stated and topics rigorously treated. Includes a chapter on regression analysis. Covers design of experiments. Demonstrates practical problem solving throughout the book with numerous examples and exercises purposely selected from a variety of engineering fields. Includes an accompanying online Solutions Manual for instructors containing complete step-by-step solutions to all problems.
Author: J. Laurie Snell Publisher: CRC Press ISBN: 9780849380730 Category : Mathematics Languages : en Pages : 400
Book Description
Probability theory has grown from a modest study of simple games of change to a subject with application in almost every branch of knowledge and science. In this exciting book, a number of distinguished probabilists discuss their current work and applications in an easily understood manner. Chapters show that new directions in probability have been suggested by the application of probability to other fields and other disciplines of mathematics. The study of polymer chains in chemistry led to the study of self-avoiding random walks; the study of the Ising model in physics and models for epidemics in biology led to the study of the probability theory of interacting particle systems. The stochastic calculus has allowed probabilists to solve problems in classical analysis, in theory of investment, and in engineering. The mathematical formulation of game theory has led to new insights into decisions under uncertainty. These new developments in probability are vividly illustrated throughout the book.
Author: Glenn Shafer Publisher: MIT Press ISBN: 9780262193689 Category : Computers Languages : en Pages : 554
Book Description
In The Art of Causal Conjecture, Glenn Shafer lays out a new mathematical and philosophical foundation for probability and uses it to explain concepts of causality used in statistics, artificial intelligence, and philosophy. The various disciplines that use causal reasoning differ in the relative weight they put on security and precision of knowledge as opposed to timeliness of action. The natural and social sciences seek high levels of certainty in the identification of causes and high levels of precision in the measurement of their effects. The practical sciences -- medicine, business, engineering, and artificial intelligence -- must act on causal conjectures based on more limited knowledge. Shafer's understanding of causality contributes to both of these uses of causal reasoning. His language for causal explanation can guide statistical investigation in the natural and social sciences, and it can also be used to formulate assumptions of causal uniformity needed for decision making in the practical sciences. Causal ideas permeate the use of probability and statistics in all branches of industry, commerce, government, and science. The Art of Causal Conjecture shows that causal ideas can be equally important in theory. It does not challenge the maxim that causation cannot be proven from statistics alone, but by bringing causal ideas into the foundations of probability, it allows causal conjectures to be more clearly quantified, debated, and confronted by statistical evidence.
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Author: Richard W. Hamming
Author: Richard C. Jeffrey
Author: David Patrick
Author: Richard Wesley Hamming
Author: Bruno De Finetti
Author: Richard W. Hamming
Author: RICHARD W. HAMMING
Author: T. T. Soong
Author: J. Laurie Snell
Author: Glenn Shafer