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


Âàðèàíòû ïðèîáðåòåíèÿ
Öåíà: 12571.00ð.
Êîë-âî:
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Ñêëàä Àìåðèêà: Åñòü  
Ïðè îôîðìëåíèè çàêàçà äî: 2025-07-28
Îðèåíòèðîâî÷íàÿ äàòà ïîñòàâêè: Àâãóñò-íà÷àëî Ñåíòÿáðÿ
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Äîáàâèòü â êîðçèíó
â Ìîè æåëàíèÿ

Àâòîð: Rychlik Igor, Rydén Jesper
Íàçâàíèå:  Probability and Risk Analysis / An Introduction for Engineers
Ïåðåâîä íàçâàíèÿ: Âåðîÿòíîñòü è àíàëèç ðèñêà / ââåäåíèå äëÿ èíæåíåðîâ
ISBN: 9783540242239
Èçäàòåëüñòâî: Springer
Êëàññèôèêàöèÿ:





ISBN-10: 3540242236
Îáëîæêà/Ôîðìàò: Hardback
Ñòðàíèöû: 282
Âåñ: 0.60 êã.
Äàòà èçäàíèÿ: 2006
ßçûê: English
Èëëþñòðàöèè: 7 black & white tables, biography
Ðàçìåð: 24.03 x 16.05 x 2.16
×èòàòåëüñêàÿ àóäèòîðèÿ: Postgraduate, research & scholarly
Ïîäçàãîëîâîê: An introduction for engineers
Ññûëêà íà Èçäàòåëüñòâî: Link
Ðåéòèíã:
Ïîñòàâëÿåòñÿ èç: Ãåðìàíèè
Îïèñàíèå: This text presents notions and ideas at the foundations of a statistical treatment of risks. Such knowledge facilitates the understanding of the influence of random phenomena and gives a deeper understanding of the possibilities offered by and algorithms found in certain software packages. Since Bayesian methods are frequently used in this field, a reasonable proportion of the presentation is devoted to such techniques. The text is written with a student in mind who has studied elementary undergraduate courses in engineering mathematics, maybe including a minor course in statistics. Despite employment of the style of presentation traditionally found in the mathematics literature (including descriptions like definitions, examples, etc.). Probability and Risk Analysis emphasizes an understanding of the theory and methods presented; hence, comments are given verbally and a reasoning is frequent. With respect to the contents (and its presentation), the ambition has not been to write just another new textbook on elementary probability and statistics. There are lots of such books, but instead the focus is on applications within the field of risk and safety analysis.
Äîïîëíèòåëüíîå îïèñàíèå: Ôîðìàò: 235x155
Èëþñòðàöèè: 46
Êðóã ÷èòàòåëåé: Engineering students and researchers; students of applied mathematics and economics
Êëþ÷åâûå ñëîâà: Bayesian methods
Statistics
Random Variables
Covariance
Correlation
Conditional distributions
Poisson Models
ßçûê: eng
Îãëàâëåíèå: 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

Àâòîð: T. W. Anderson
Íàçâàíèå: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Èçäàòåëüñòâî: Wiley
Ðåéòèíã:
Öåíà: 27712.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: 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

Àâòîð: Koralov
Íàçâàíèå: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 8384.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: 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 Statistical Data Analysis for the Life Sciences, Second Edition

Àâòîð: Ekstrom
Íàçâàíèå: Introduction to Statistical Data Analysis for the Life Sciences, Second Edition
ISBN: 1482238934 ISBN-13(EAN): 9781482238938
Èçäàòåëüñòâî: Taylor&Francis
Ðåéòèíã:
Öåíà: 9798.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå:

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.

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

Àâòîð: Chung K. L., AitSahlia Farid
Íàçâàíèå: Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance
ISBN: 038795578X ISBN-13(EAN): 9780387955780
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 10480.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: Provides an introduction to probability theory and its applications.

Elementary probability for applications

Àâòîð: Durrett, Rick
Íàçâàíèå: Elementary probability for applications
ISBN: 0521867568 ISBN-13(EAN): 9780521867566
Èçäàòåëüñòâî: Cambridge Academ
Ðåéòèíã:
Öåíà: 10611.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: This is a perfect one-semester introduction to probability, for students who are familiar with basic calculus. The lively style reflects the author`s philosophy that the best way to learn probability is to see it in action, and he gives over 200 examples from genetics, sports, finance, and current events.

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

Àâòîð: Simon Marvin K., Riedel Eibe
Íàçâàíèå: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 9781.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: 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.

Probability And Risk Analysis: An Introduction for Engineers

Íàçâàíèå: Probability And Risk Analysis: An Introduction for Engineers
ISBN: 3642063462 ISBN-13(EAN): 9783642063466
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 12571.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: 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.

An Introduction to State Space Time Series Analysis

Àâòîð: Commandeur, Jacques J.F.; Koopman, Siem Jan
Íàçâàíèå: An Introduction to State Space Time Series Analysis
ISBN: 0199228876 ISBN-13(EAN): 9780199228874
Èçäàòåëüñòâî: Oxford Academ
Ðåéòèíã:
Öåíà: 7681.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: This text provides an introduction to time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. This is the first in a series of books designed to provide practitioners, researchers, and students with practical introductions to various topics in econometrics.

Introduction to Time Series Analysis and Forecasting

Àâòîð: Douglas C. Montgomery,Cheryl L. Jennings,Murat Kul
Íàçâàíèå: Introduction to Time Series Analysis and Forecasting
ISBN: 1118745116 ISBN-13(EAN): 9781118745113
Èçäàòåëüñòâî: Wiley
Ðåéòèíã:
Öåíà: 18208.00 ð.
Íàëè÷èå íà ñêëàäå: Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: 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.


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