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Probability and Risk Analysis / An Introduction for Engineers, Rychlik Igor, Rydén Jesper



: 13358.
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: Rychlik Igor, Rydén Jesper
 Probability and Risk Analysis / An Introduction for Engineers
:  /
ISBN: 9783540242239
: Springer
:
ISBN-10: 3540242236
/: Hardback
: 282
: 0.602 .
: 2006
: English
: 7 black & white tables, biography
: 24.03 x 16.05 x 2.16
: Postgraduate, research & scholarly
: An introduction for engineers
: Link
:
:
: : 235x155
: 46
: Engineering students and researchers; students of applied mathematics and economics
: Bayesian methods
Statistics
Random Variables
Covariance
Correlation
Conditional distributions
Poisson Models
: eng
: Basic Probability.- Subjective Probabilities versus Long-term Frequencies.- Random Variables.- Fitting Distributions to Data–Frequentist Approach.- Dependent Random Variables-Conditional Probabilities.- Introduction to Bayesian Data Analysis.- Intensities and the Poisson Process.- Failure Probabilities and Safety Indexes.- Characteristics Strength, Design Loads.- Extremes.





An Introduction to Multivariate Statistical Analysis, Third Edition

: T. W. Anderson
: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
: Wiley
:
: 28133 .
  : .

: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Theory of Probability and Random Processes

: Koralov
: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
: Springer
:
: 8909 .
  : .

: A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this bookIt is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.

Introduction to Probability with Mathematica, Second Edition

: Hastings
: Introduction to Probability with Mathematica, Second Edition
ISBN: 1420079387 ISBN-13(EAN): 9781420079388
: Taylor&Francis
:
: 27225 .
  : .

: Updated to conform to Mathematica 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on Markov chains, more example data of the normal distribution, and more attention on conditional expectation. It also includes additional problems from Actuarial Exam P as well as new examples, exercises, and data sets. The accompanying CD-ROM contains updated Mathematica notebooks and a revised solutions manual is available for qualifying instructors.

Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance

: Chung K. L., AitSahlia Farid
: Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance
ISBN: 038795578X ISBN-13(EAN): 9780387955780
: Springer
:
: 11136 .
  : .

: Provides an introduction to probability theory and its applications.

Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists

: Simon Marvin K., Riedel Eibe
: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
: Springer
:
: 10394 .
  : .

: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

Introduction to Time Series Analysis and Forecasting

: Douglas C. Montgomery,Cheryl L. Jennings,Murat Kul
: Introduction to Time Series Analysis and Forecasting
ISBN: 1118745116 ISBN-13(EAN): 9781118745113
: Wiley
:
: 19421 .
  : .

: Praise for the First Edition" [t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics." ?MAA ReviewsThoroughly updated throughout, Introduction to Time Series Analysis

Introduction to probability with r

: Baclawski, Kenneth P.
: Introduction to probability with r
ISBN: 1420065211 ISBN-13(EAN): 9781420065213
: Taylor&Francis
:
: 17241 .
  : .

: Presents R programs and animations to provide an understanding of how to model natural phenomena from a probabilistic point of view. This work centers on viewing probability as a way to look at the world and shows how to combine and link stochastic processes to form complex processes that are better models of natural phenomena.

Numerical methods for engineers

: Chapra, Steven C.
: Numerical methods for engineers
ISBN: 007126759X ISBN-13(EAN): 9780071267595
: McGraw-Hill
:
: 9799 .
  : .

: Numerical Methods for Engineers

Probability And Risk Analysis: An Introduction for Engineers

: Probability And Risk Analysis: An Introduction for Engineers
ISBN: 3642063462 ISBN-13(EAN): 9783642063466
: Springer
:
: 13358 .
  : .

: A textbook presenting notions and ideas at the foundations of a statistical treatment of risks. The text is unlike that found in traditional mathematics literature and differs from typical textbooks in its verbal approach to many explanations and examples.

Introduction to Probability and Statistics for Engineers and Scie

: Sheldon M. Ross
: Introduction to Probability and Statistics for Engineers and Scie
ISBN: 0123948118 ISBN-13(EAN): 9780123948113
: Elsevier Science
:
: 12845 .
  : .

: Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is a proven text reference that provides a superior introduction to applied probability and statistics for engineering or science majors. The book lays emphasis in the manner in which probability yields insight into statistical problems, ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data from actual studies across life science, engineering, computing and business are incorporated in a wide variety of exercises and examples throughout the text. These examples and exercises are combined with updated problem sets and applications to connect probability theory to everyday statistical problems and situations. The book also contains end of chapter review material that highlights key ideas as well as the risks associated with practical application of the material. Furthermore, there are new additions to proofs in the estimation section as well as new coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions. This text is intended for upper level undergraduate and graduate students taking a course in probability and statistics for science or engineering, and for scientists, engineers, and other professionals seeking a reference of foundational content and application to these fields.

WIE Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, 2nd Edition

: Roy D. Yates
: WIE Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, 2nd Edition
ISBN: 0471452599 ISBN-13(EAN): 9780471452591
: Wiley
: 6343 .
  : .

: This user--friendly resource helps readers grasp the concepts of probability and stochastic processes, so they can apply them in professional engineering practice. The book presents concepts clearly as a sequence of building blocks that are identified either as an axiom, definition, or theorem. This approach provides a better understanding of the material, which can be used to solve practical problems.

Introduction to Statistical Data Analysis for the Life Sciences, Second Edition

: Ekstrom
: Introduction to Statistical Data Analysis for the Life Sciences, Second Edition
ISBN: 1482238934 ISBN-13(EAN): 9781482238938
: Taylor&Francis
:
: 9981 .
  : .

: A Hands-On Approach to Teaching Introductory Statistics Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the mathematics underlying classical statistical analysis, the modeling aspects of statistical analysis and the biological interpretation of results, and the application of statistical software in analyzing real-world problems and datasets. New to the Second Edition A new chapter on non-linear regression models A new chapter that contains examples of complete data analyses, illustrating how a full-fledged statistical analysis is undertaken Additional exercises in most chapters A summary of statistical formulas related to the specific designs used to teach the statistical concepts This text provides a computational toolbox that enables students to analyze real datasets and gain the confidence and skills to undertake more sophisticated analyses. Although accessible with any statistical software, the text encourages a reliance on R. For those new to R, an introduction to the software is available in an appendix. The book also includes end-of-chapter exercises as well as an entire chapter of case exercises that help students apply their knowledge to larger datasets and learn more about approaches specific to the life sciences.


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