Applied Probability And Statistics

Author : Mario Lefebvre
Publisher : Springer Science & Business Media
Page : 364 pages
File Size : 41,6 Mb
Release : 2007-04-03
Category : Mathematics
ISBN : 9780387285054

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Applied Probability and Statistics by Mario Lefebvre Pdf

This book moves systematically through the topic of applied probability from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Each chapter concludes with many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are historical notes on the mathematicians mentioned throughout, and a useful bibliography. A distinguishing character of the book is its thorough and succinct handling of the varied topics.

Author : Kenneth Lange
Publisher : Springer Science & Business Media
Page : 302 pages
File Size : 55,5 Mb
Release : 2008-01-17
Category : Mathematics
ISBN : 9780387227115

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Applied Probability by Kenneth Lange Pdf

Despite the fears of university mathematics departments, mathematics educat,ion is growing rather than declining. But the truth of the matter is that the increases are occurring outside departments of mathematics. Engineers, computer scientists, physicists, chemists, economists, statis- cians, biologists, and even philosophers teach and learn a great deal of mathematics. The teaching is not always terribly rigorous, but it tends to be better motivated and better adapted to the needs of students. In my own experience teaching students of biostatistics and mathematical bi- ogy, I attempt to convey both the beauty and utility of probability. This is a tall order, partially because probability theory has its own vocabulary and habits of thought. The axiomatic presentation of advanced probability typically proceeds via measure theory. This approach has the advantage of rigor, but it inwitably misses most of the interesting applications, and many applied scientists rebel against the onslaught of technicalities. In the current book, I endeavor to achieve a balance between theory and app- cations in a rather short compass. While the combination of brevity apd balance sacrifices many of the proofs of a rigorous course, it is still cons- tent with supplying students with many of the relevant theoretical tools. In my opinion, it better to present the mathematical facts without proof rather than omit them altogether.

Author : Oliver Ibe
Publisher : Academic Press
Page : 456 pages
File Size : 53,6 Mb
Release : 2014-06-13
Category : Mathematics
ISBN : 9780128010358

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Fundamentals of Applied Probability and Random Processes by Oliver Ibe Pdf

The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study. Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings Expands readers’ understanding of disruptive statistics in a new chapter (chapter 8) Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts. Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).

Author : Arnold Barnett
Publisher : Unknown
Page : 354 pages
File Size : 45,7 Mb
Release : 2015
Category : Probabilities
ISBN : 0989910873

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Applied Probability by Arnold Barnett Pdf

Author : Sheldon M. Ross
Publisher : Courier Corporation
Page : 224 pages
File Size : 46,7 Mb
Release : 2013-04-15
Category : Mathematics
ISBN : 9780486318646

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Applied Probability Models with Optimization Applications by Sheldon M. Ross Pdf

Concise advanced-level introduction to stochastic processes that arise in applied probability. Poisson process, renewal theory, Markov chains, Brownian motion, much more. Problems. References. Bibliography. 1970 edition.

Author : N. Balakrishnan
Publisher : CRC Press
Page : 562 pages
File Size : 50,8 Mb
Release : 2003-04-24
Category : Mathematics
ISBN : 0203493206

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Advances on Theoretical and Methodological Aspects of Probability and Statistics by N. Balakrishnan Pdf

At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics. This is one of two volumes containing invited papers from the meeting. The 32 chapters deal with different topics of interest, including stochastic processes and inference, distributions and characterizations, inference, Bayesian inference, selection methods, regression methods, and methods in health research. The text is ideal for applied mathematicians, statisticians, and researchers in the field.

Author : Ian F. Blake
Publisher : Unknown
Page : 552 pages
File Size : 46,9 Mb
Release : 1987
Category : Mathematics
ISBN : PSU:000015286734

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An Introduction to Applied Probability by Ian F. Blake Pdf

Designed for a curriculum that contains only 2 single one-semester course on probability. Covers the core of probability theory, considers sums of random variables, derives sampling distributions, and discusses the approximation of distributions. Includes nonstatistical and statistical applications such as hypothesis testing, confidence intervals, and regression analysis. Numerous worked examples throughout the text illustrate the material and each chapter concludes with a number of problems.

Author : F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester
Publisher : Springer Science & Business Media
Page : 488 pages
File Size : 51,6 Mb
Release : 2006-03-30
Category : Mathematics
ISBN : 9781846281686

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A Modern Introduction to Probability and Statistics by F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester Pdf

Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

Author : Sheldon M. Ross
Publisher : Unknown
Page : 532 pages
File Size : 41,7 Mb
Release : 1987
Category : Mathematics
ISBN : UOM:39015013026342

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Introduction to Probability and Statistics for Engineers and Scientists by Sheldon M. Ross Pdf

Elements of probability; Random variables and expectation; Special; random variables; Sampling; Parameter estimation; Hypothesis testing; Regression; Analysis of variance; Goodness of fit and nonparametric testing; Life testing; Quality control; Simulation.

Author : R. Szekli
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 42,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461225287

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Stochastic Ordering and Dependence in Applied Probability by R. Szekli Pdf

This book is an introductionary course in stochastic ordering and dependence in the field of applied probability for readers with some background in mathematics. It is based on lectures and senlinars I have been giving for students at Mathematical Institute of Wroclaw University, and on a graduate course a.t Industrial Engineering Department of Texas A&M University, College Station, and addressed to a reader willing to use for example Lebesgue measure, conditional expectations with respect to sigma fields, martingales, or compensators as a common language in this field. In Chapter 1 a selection of one dimensional orderings is presented together with applications in the theory of queues, some parts of this selection are based on the recent literature (not older than five years). In Chapter 2 the material is centered around the strong stochastic ordering in many dimen sional spaces and functional spaces. Necessary facts about conditioning, Markov processes an"d point processes are introduced together with some classical results such as the product formula and Poissonian departure theorem for Jackson networks, or monotonicity results for some re newal processes, then results on stochastic ordering of networks, re~~ment policies and single server queues connected with Markov renewal processes are given. Chapter 3 is devoted to dependence and relations between dependence and ordering, exem plified by results on queueing networks and point processes among others.

Author : Paul E. Pfeiffer,David A. Schum
Publisher : Elsevier
Page : 420 pages
File Size : 43,6 Mb
Release : 2014-05-10
Category : Mathematics
ISBN : 9781483277202

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Introduction to Applied Probability by Paul E. Pfeiffer,David A. Schum Pdf

Introduction to Applied Probability provides a basis for an intelligent application of probability ideas to a wide variety of phenomena for which it is suitable. It is intended as a tool for learning and seeks to point out and emphasize significant facts and interpretations which are frequently overlooked or confused by the beginner. The book covers more than enough material for a one semester course, enhancing the value of the book as a reference for the student. Notable features of the book are: the systematic handling of combinations of events (Section 3-5); extensive use of the mass concept as an aid to visualization; an unusually careful treatment of conditional probability, independence, and conditional independence (Section 6-4); the resulting clarification facilitates the formulation of many applied problems; the emphasis on events determined by random variables, which gives unity and clarity to many topics important for interpretation; and the utilization of the indicator function, both as a tool for dealing with events and as a notational device in the handling of random variables. Students of mathematics, engineering, biological and physical sciences will find the text highly useful.

Author : Richard W. Hamming
Publisher : Courier Corporation
Page : 882 pages
File Size : 48,9 Mb
Release : 2012-06-28
Category : Mathematics
ISBN : 9780486138879

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Methods of Mathematics Applied to Calculus, Probability, and Statistics by Richard W. Hamming Pdf

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 : Michel K. Ochi
Publisher : Wiley-Interscience
Page : 528 pages
File Size : 52,9 Mb
Release : 1990-01-25
Category : Mathematics
ISBN : UOM:39015015160628

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Applied Probability and Stochastic Processes by Michel K. Ochi Pdf

This introduction to modern concepts of applied stochastic processes is written for a broad range of applications in diverse areas of engineering and the physical sciences (unlike other books, which are written primarily for communications or electrical engineering). Emphasis is on clarifying the basic principles supporting current prediction techniques. The first eight chapters present the probability theory relevant to analysis of stochastic processes. The following nine chapters discuss principles, advanced techniques (including the procedures of spectral analysis and the development of the probability density function) and applications. Also features material found in the recent literature such as higher-order spectral analysis, the joint probability distribution of amplitudes and periods and non-Gaussian random processes. Includes numerous illustrative examples.

Author : Ricardo Baeza-Yates,Joseph Glaz,Henryk Gzyl,Jürg Hüsler,José Luis Palacios
Publisher : Springer Science & Business Media
Page : 497 pages
File Size : 41,5 Mb
Release : 2006-02-28
Category : Mathematics
ISBN : 9780387233949

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Recent Advances in Applied Probability by Ricardo Baeza-Yates,Joseph Glaz,Henryk Gzyl,Jürg Hüsler,José Luis Palacios Pdf

Applied probability is a broad research area that is of interest to scientists in diverse disciplines in science and technology, including: anthropology, biology, communication theory, economics, epidemiology, finance, geography, linguistics, medicine, meteorology, operations research, psychology, quality control, sociology, and statistics. Recent Advances in Applied Probability is a collection of survey articles that bring together the work of leading researchers in applied probability to present current research advances in this important area. This volume will be of interest to graduate students and researchers whose research is closely connected to probability modelling and their applications. It is suitable for one semester graduate level research seminar in applied probability.

Author : George C. Canavos
Publisher : Unknown
Page : 632 pages
File Size : 44,6 Mb
Release : 1984
Category : Mathematics
ISBN : UOM:39015042118490

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Applied Probability and Statistical Methods by George C. Canavos Pdf