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Introduction to Probability and Statistics for Engineers and Scientists

1987 Mathematics
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Release : 1987
Genre : Mathematics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Introduction to Probability and Statistics for Engineers and Scientists by : Sheldon M. Ross

Download or read book Introduction to Probability and Statistics for Engineers and Scientists written by Sheldon M. Ross. This book was released on 1987. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction to Probability and Statistics

2015-09-01 Mathematics
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Release : 2015-09-01
Genre : Mathematics
Kind : eBook
Book Rating : 658/5 ( reviews)

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Book Synopsis An Introduction to Probability and Statistics by : Vijay K. Rohatgi

Download or read book An Introduction to Probability and Statistics written by Vijay K. Rohatgi. This book was released on 2015-09-01. Available in PDF, EPUB and Kindle. Book excerpt: A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.

Introduction to Probability and Statistics for Science, Engineering, and Finance

2008-07-10 Mathematics
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Release : 2008-07-10
Genre : Mathematics
Kind : eBook
Book Rating : 13X/5 ( reviews)

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Book Synopsis Introduction to Probability and Statistics for Science, Engineering, and Finance by : Walter A. Rosenkrantz

Download or read book Introduction to Probability and Statistics for Science, Engineering, and Finance written by Walter A. Rosenkrantz. This book was released on 2008-07-10. Available in PDF, EPUB and Kindle. Book excerpt: Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields. The text first introduces the basics needed to understand and create

Fundamentals of Probability and Statistics for Engineers

2004-06-25 Mathematics
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Release : 2004-06-25
Genre : Mathematics
Kind : eBook
Book Rating : 155/5 ( reviews)

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Book Synopsis Fundamentals of Probability and Statistics for Engineers by : T. T. Soong

Download or read book Fundamentals of Probability and Statistics for Engineers written by T. T. Soong. This book was released on 2004-06-25. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Probability and Statistics for Engineers

2013-08-04 Mathematics
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Release : 2013-08-04
Genre : Mathematics
Kind : eBook
Book Rating : 009/5 ( reviews)

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Book Synopsis Introduction to Probability and Statistics for Engineers by : Milan Holický

Download or read book Introduction to Probability and Statistics for Engineers written by Milan Holický. This book was released on 2013-08-04. Available in PDF, EPUB and Kindle. Book excerpt: The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional random variables, are also covered. Examples of reliability analysis and risk assessment of technological systems are used throughout the book to illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students of science and engineering, scientific workers and engineers and specialists in the field of reliability analysis and risk assessment. Except basic knowledge of undergraduate mathematics no special prerequisite is required.

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