A Method for Determining Probability Distributions for Mass Properties of Systems PDF Download
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Author: Frank C. Bond
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Frank C. Bond
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Frank C. Bond
Publisher:
ISBN:
Category :
Languages : en
Pages : 78
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Book Description
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 772
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Book Description
Author: Andrew N O'Connor
Publisher: RIAC
ISBN: 1933904062
Category : Mathematics
Languages : en
Pages : 220
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Book Description
The book provides details on 22 probability distributions. Each distribution section provides a graphical visualization and formulas for distribution parameters, along with distribution formulas. Common statistics such as moments and percentile formulas are followed by likelihood functions and in many cases the derivation of maximum likelihood estimates. Bayesian non-informative and conjugate priors are provided followed by a discussion on the distribution characteristics and applications in reliability engineering.
Author: Philipp Kornreich
Publisher: CRC Press
ISBN: 1351835041
Category : Mathematics
Languages : en
Pages : 277
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Book Description
From ancient soothsayers and astrologists to today’s pollsters and economists, probability theory has long been used to predict the future on the basis of past and present knowledge. Mathematical Models of Information and Stochastic Systems shows that the amount of knowledge about a system plays an important role in the mathematical models used to foretell the future of the system. It explains how this known quantity of information is used to derive a system’s probabilistic properties. After an introduction, the book presents several basic principles that are employed in the remainder of the text to develop useful examples of probability theory. It examines both discrete and continuous distribution functions and random variables, followed by a chapter on the average values, correlations, and covariances of functions of variables as well as the probabilistic mathematical model of quantum mechanics. The author then explores the concepts of randomness and entropy and derives various discrete probabilities and continuous probability density functions from what is known about a particular stochastic system. The final chapters discuss information of discrete and continuous systems, time-dependent stochastic processes, data analysis, and chaotic systems and fractals. By building a range of probability distributions based on prior knowledge of the problem, this classroom-tested text illustrates how to predict the behavior of diverse systems. A solutions manual is available for qualifying instructors.
Author: Paul R. Garvey
Publisher: CRC Press
ISBN: 148221976X
Category : Mathematics
Languages : en
Pages : 526
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Book Description
Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost of system elements, how to present the analysis to
Author: Tung Au
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 392
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Book Description
For first courses in probability, statistics, and decision theory for engineering students.
Author: Arthur M. Breipohl
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 382
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Book Description
Elementary probability; Engineering applications of probability; Random variables; Expected values; Distribution of functions of Random variables; Applications of Random variables to systems problems; Distributions from data; Estimation; Engineering decisions; Introduction to Random processes; Systems and Random signals.
Author: Themis Matsoukas
Publisher: Springer
ISBN: 3030041492
Category : Science
Languages : en
Pages : 363
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Book Description
This book gives the definitive mathematical answer to what thermodynamics really is: a variational calculus applied to probability distributions. Extending Gibbs's notion of ensemble, the Author imagines the ensemble of all possible probability distributions and assigns probabilities to them by selection rules that are fairly general. The calculus of the most probable distribution in the ensemble produces the entire network of mathematical relationships we recognize as thermodynamics. The first part of the book develops the theory for discrete and continuous distributions while the second part applies this thermodynamic calculus to problems in population balance theory and shows how the emergence of a giant component in aggregation, and the shattering transition in fragmentation may be treated as formal phase transitions. While the book is intended as a research monograph, the material is self-contained and the style sufficiently tutorial to be accessible for self-paced study by an advanced graduate student in such fields as physics, chemistry, and engineering.
Author: Adrian Bejan
Publisher: Springer Science & Business Media
ISBN: 9780792357254
Category : Technology & Engineering
Languages : en
Pages : 490
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Book Description
A comprehensive assessment of the methodologies of thermodynamic optimization, exergy analysis and thermoeconomics, and their application to the design of efficient and environmentally sound energy systems. The chapters are organized in a sequence that begins with pure thermodynamics and progresses towards the blending of thermodynamics with other disciplines, such as heat transfer and cost accounting. Three methods of analysis stand out: entropy generation minimization, exergy (or availability) analysis, and thermoeconomics. The book reviews current directions in a field that is both extremely important and intellectually alive. Additionally, new directions for research on thermodynamics and optimization are revealed.
