Handbook of Exponential and Related Distributions for Engineers and Scientists
Title | Handbook of Exponential and Related Distributions for Engineers and Scientists PDF eBook |
Author | Nabendu Pal |
Publisher | CRC Press |
Pages | 370 |
Release | 2005-11-21 |
Genre | Mathematics |
ISBN | 0203490282 |
The normal distribution is widely known and used by scientists and engineers. However, there are many cases when the normal distribution is not appropriate, due to the data being skewed. Rather than leaving you to search through journal articles, advanced theoretical monographs, or introductory texts for alternative distributions, the Handbook of E
Probability Distributions Involving Gaussian Random Variables
Title | Probability Distributions Involving Gaussian Random Variables PDF eBook |
Author | Marvin K. Simon |
Publisher | Springer Science & Business Media |
Pages | 218 |
Release | 2007-05-24 |
Genre | Mathematics |
ISBN | 0387476946 |
This handbook, now available in paperback, 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. The handbook is not specific to fixed research areas, but rather it has a generic flavor that can be applied by anyone working with probabilistic and stochastic analysis and modeling. Classic results are presented in their final form without derivation or discussion, allowing for much material to be condensed into one volume.
Handbook of Mathematical, Scientific, and Engineering Formulas, Tables, Functions, Graphs, Transforms
Title | Handbook of Mathematical, Scientific, and Engineering Formulas, Tables, Functions, Graphs, Transforms PDF eBook |
Author | Max Fogiel |
Publisher | Research & Education Assoc. |
Pages | 1942 |
Release | 1984-01-01 |
Genre | Mathematics |
ISBN | 9780878915217 |
Mathematical Handbook for Scientists and Engineers
Title | Mathematical Handbook for Scientists and Engineers PDF eBook |
Author | Granino A. Korn |
Publisher | Courier Corporation |
Pages | 1154 |
Release | 2013-04-26 |
Genre | Technology & Engineering |
ISBN | 0486320235 |
Convenient access to information from every area of mathematics: Fourier transforms, Z transforms, linear and nonlinear programming, calculus of variations, random-process theory, special functions, combinatorial analysis, game theory, much more.
Probability Distributions Involving Gaussian Random Variables
Title | Probability Distributions Involving Gaussian Random Variables PDF eBook |
Author | Marvin K. Simon |
Publisher | Springer |
Pages | 0 |
Release | 2008-11-01 |
Genre | Mathematics |
ISBN | 9780387514451 |
This handbook, now available in paperback, 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. The handbook is not specific to fixed research areas, but rather it has a generic flavor that can be applied by anyone working with probabilistic and stochastic analysis and modeling. Classic results are presented in their final form without derivation or discussion, allowing for much material to be condensed into one volume.
Handbook of Statistical Methods for Engineers and Scientists
Title | Handbook of Statistical Methods for Engineers and Scientists PDF eBook |
Author | Harrison M. Wadsworth |
Publisher | McGraw-Hill Companies |
Pages | 750 |
Release | 1990 |
Genre | Mathematics |
ISBN |
Very Good,No Highlights or Markup,all pages are intact.
Probability Distributions Used in Reliability Engineering
Title | Probability Distributions Used in Reliability Engineering PDF eBook |
Author | Andrew N O'Connor |
Publisher | RIAC |
Pages | 220 |
Release | 2011 |
Genre | Mathematics |
ISBN | 1933904062 |
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.