Random Variable Method

Monte Carlo Strategies in Scientific Computing  eBooks & eLearning

Posted by AvaxGenius at Nov. 25, 2022
Monte Carlo Strategies in Scientific Computing

Monte Carlo Strategies in Scientific Computing by Jun S. Liu
English | PDF | 2004 | 350 Pages | ISBN : 0387763694 | 29.1 MB

This book provides a self-contained and up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians. It can also be used as the textbook for a graduate-level course on Monte Carlo methods. Many problems discussed in the alter chapters can be potential thesis topics for masters’ or Ph.D. students in statistics or computer science departments.

Distributions With Given Marginals and Statistical Modelling  eBooks & eLearning

Posted by AvaxGenius at Sept. 12, 2020
Distributions With Given Marginals and Statistical Modelling

Distributions With Given Marginals and Statistical Modelling by Carles M. Cuadras
English | PDF | 252 Pages | 2002 | ISBN : 9048161363 | 19.74 MB

As in the previous meetings, the theory of copulas has arelevant place in this book, as well as promising research on the more general concept of quasi- copulas. Other papers are devoted to the theory and compatibility of distri- butions, models for survival distributions and other well-known distributions. As was traditional in the previous meetings, several papers treat the problem of measuring dependence, monotonicity and ordering. A new set of papers is devoted to proposing some statistical models in aspects such as goodness of fit assessment, testing independence, estimating association parameters, etc.

Probability, Statistical Optics, and Data Testing: A Problem Solving Approach  eBooks & eLearning

Posted by AvaxGenius at March 23, 2022
Probability, Statistical Optics, and Data Testing: A Problem Solving Approach

Probability, Statistical Optics, and Data Testing: A Problem Solving Approach by B. Roy Frieden
English | PDF | 2001 | 507 Pages | ISBN : 3540417087 | 13.1 MB

Scientists in optics are increasingly confronted with problems that are of a random nature and that require a working knowledge of probability and statistics for their solution. This textbook develops these subjects within the context of optics using a problem-solving approach. All methods are explicitly derived and can be traced back to three simple axioms given at the outset. Students with some previous exposure to Fourier optics or linear theory will find the material particularly absorbing and easy to understand.
Approximate Distributions of Order Statistics: With Applications to Nonparametric Statistics

Approximate Distributions of Order Statistics: With Applications to Nonparametric Statistics by R.-D. Reiss
English | PDF | 1989 | 363 Pages | ISBN : 1461396220 | 27.5 MB

This book is designed as a unified and mathematically rigorous treatment of some recent developments of the asymptotic distribution theory of order statistics (including the extreme order statistics) that are relevant for statistical theory and its applications. Particular emphasis is placed on results concern­ ing the accuracy oflimit theorems, on higher order approximations, and other approximations in quite a general sense.

Simulation and the Monte Carlo Method: Solutions Manual to Accompany, Second Edition  eBooks & eLearning

Posted by insetes at Sept. 24, 2024
Simulation and the Monte Carlo Method: Solutions Manual to Accompany, Second Edition

Simulation and the Monte Carlo Method: Solutions Manual to Accompany, Second Edition By Dirk P. Kroese, Thomas Taimre, Zdravko I. Botev, Rueven Y. Rubinstein(auth.)
2008 | 186 Pages | ISBN: 0470258799 | PDF | 8 MB

Simulation and the Monte Carlo Method: Solutions Manual to Accompany, Second Edition  eBooks & eLearning

Posted by insetes at Sept. 24, 2024
Simulation and the Monte Carlo Method: Solutions Manual to Accompany, Second Edition

Simulation and the Monte Carlo Method: Solutions Manual to Accompany, Second Edition By Dirk P. Kroese, Thomas Taimre, Zdravko I. Botev, Rueven Y. Rubinstein(auth.)
2008 | 186 Pages | ISBN: 0470258799 | PDF | 8 MB

Random Forests with R  eBooks & eLearning

Posted by AvaxGenius at Sept. 10, 2020
Random Forests with R

Random Forests with R by Robin Genuer
English | PDF,EPUB | 2020 | 107 Pages | ISBN : 3030564843 | 8 MB

This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can be adapted to both supervised classification problems and regression problems.

Simulation and the Monte Carlo Method, Second Edition  eBooks & eLearning

Posted by insetes at Sept. 24, 2024
Simulation and the Monte Carlo Method, Second Edition

Simulation and the Monte Carlo Method, Second Edition By Reuven Y. Rubinstein, Dirk P. Kroese(auth.)
2008 | 366 Pages | ISBN: 0470177942 | PDF | 8 MB

Simulation and the Monte Carlo Method, Second Edition  eBooks & eLearning

Posted by insetes at Sept. 24, 2024
Simulation and the Monte Carlo Method, Second Edition

Simulation and the Monte Carlo Method, Second Edition By Reuven Y. Rubinstein, Dirk P. Kroese(auth.)
2008 | 366 Pages | ISBN: 0470177942 | PDF | 8 MB

Decision Trees, Random Forests & Gradient Boosting in R  eBooks & eLearning

Posted by IrGens at March 26, 2021
Decision Trees, Random Forests & Gradient Boosting in R

Decision Trees, Random Forests & Gradient Boosting in R
.MKV, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 24m | 1.78 GB
Instructor: Carlos Martinez