Computational Probability

Computational Probability
Author: John H. Drew
Publisher: Springer Science & Business Media
Total Pages: 220
Release: 2008-01-08
Genre: Mathematics
ISBN: 0387746765

This title organizes computational probability methods into a systematic treatment. The book examines two categories of problems. "Algorithms for Continuous Random Variables" covers data structures and algorithms, transformations of random variables, and products of independent random variables. "Algorithms for Discrete Random Variables" discusses data structures and algorithms, sums of independent random variables, and order statistics.

From Elementary Probability to Stochastic Differential Equations with MAPLEĀ®

From Elementary Probability to Stochastic Differential Equations with MAPLEĀ®
Author: Sasha Cyganowski
Publisher: Springer Science & Business Media
Total Pages: 323
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642561446

This is an introduction to probabilistic and statistical concepts necessary to understand the basic ideas and methods of stochastic differential equations. Based on measure theory, which is introduced as smoothly as possible, it provides practical skills in the use of MAPLE in the context of probability and its applications. It offers to graduates and advanced undergraduates an overview and intuitive background for more advanced studies.

Maple

Maple
Author: Victor Aladjev
Publisher: Fultus Corporation
Total Pages: 405
Release: 2006
Genre: Computers
ISBN: 1596820802

The book consists of two parts. The first part consists of seven chapters and presents a new software for package Maple of releases 6-10. The tools represented in this chapters increase the range and efficiency of use of Maple on Windows platform. The basic attention is devoted to additional tools created in the process of practical use and testing the Maple of releases 4 - 10 which by some parameters extend essentially the opportunities of the package and facilitate the work with it.Whereas the algorithms of physical and engineering problems of the second part mainly use the finite element method (FEM). The part consists of eight chapters and solves in Maple environment the physical and engineering problems from such fields as: thermal conductivity, mechanics of deformable bodies, theory of elasticity, hydrodynamics, hydromechanics, etc. At last, application of Maple for solution of optimization problems is presented.

Probability and Statistical Inference

Probability and Statistical Inference
Author: Robert V. Hogg
Publisher:
Total Pages: 728
Release: 2001
Genre: Mathematics
ISBN:

CD-ROM contains: Data files for selected exercises and examples from text -- Animated versions of some figures

The Maple V Primer, Release 4

The Maple V Primer, Release 4
Author: Frank Garvan
Publisher: CRC Press
Total Pages: 154
Release: 2021-02-28
Genre: Mathematics
ISBN: 1000674142

Learn how to use the modern techniques offered by Maple V, a powerful and popular computer algebra system. The Maple V Primer: Release 4 covers all the basic topics a reader needs to know to use Maple V in its major revision encompassed in Release 4 to do algebra and calculus, solve equations, graph 2- and 3-dimensional plots, perform simple programming tasks, and prepare mathematical documents. Every common command and function is supported by a specific example, so you won't waste time struggling with the syntax. Graphs, plots, and other Maple output are provided along with the syntax, so the user knows what to expect when she or he uses a particular command. And all the examples come with a short discussion, answering questions you might have about applying the example to your own work. This is a painless - even fun - way to learn how to use Maple V.

General Statistics

General Statistics
Author: Victor Aladjev
Publisher: Lulu.com
Total Pages: 257
Release: 2014-10-17
Genre: Education
ISBN: 9985950879

The book is a statistic course for undergraduate students in all fields of social and economic sciences. The book presents a manual on a course "General Statistics", including a series of not quite traditional topics. Above all, it concerns the mathematical bases of statistics and use of computer technologies in statistic probing. At that, thematic choice of the chapters and sections of the book is caused not only by interests and tastes of the authors, but also by modern tendencies in applied statistics and orientation of the given work. The book contains a series of concrete proposals for improvement of statistic practice; many of them are based on our experience in practical statistical activity in statistical organs of USSR and Estonia. A comparability aspect of the Soviet statistic school inheriting many traditions of the worldwide known Russian school of probability theory and statistics, with western statistics can be a rather interesting to the English-speaking reader.

General Theory of Statistics

General Theory of Statistics
Author: Victor Aladjev
Publisher: Fultus Corporation
Total Pages: 244
Release: 2004
Genre: Mathematics
ISBN: 1596820128

Book Description The present book is a statistical course for undergraduate students in all fields of social and economic sciences. The book presents a manual on the course "General Theory of Statistics", including a series of not quite traditional topics. First of all, it concerns the mathematical bases of statistics and use of computer technologies in statistical probing. Thematic choice of the chapters and sections of the book is caused not only by interests and tastes of the authors, but also by modern tendencies in applied statistics and orientation of the given work. The book is based on a course of lectures given by the first author for undergraduates in social and economic sciences along with three books published in Russian and English in Estonia, Lithuania and Byelorussia. This book has been written for a large enough audience of teachers, researchers, statisticians, students, collegians and users of statistics in behavioral and social sciences. Above all, the book is directed to a wide circle of the readers studying statistical disciplines in high schools and colleges; however, it can be useful also to persons independently studying statistics. Author Biography (Aladjev V.Z.) Professor Aladjev V.Z. was born on June 14, 1942 in the town Grodno (Byelorussia). Now, he is the First vice-president of the International Academy of Noosphere and the president of Tallinn Research Group, whose scientific results have received international recognition, first, in the field of mathematical theory of Cellular Automata (CA). He is member of a series of Russian and International Academies. Aladjev V. Z. is the author of more than 330 scientific publications, including 63 books, published in many countries. He participates as a member of the organizing committee and/or a guest lecturer in many international scientific forums in mathematics and cybernetics. Author Biography (Haritonov V.N.) Dr. Haritonov V.N. was born on August 2, 1946 in the town Nizhni Novgorod (Russia). On successful graduation from Tallinn Technical University, he has acquired a profession of economics. Since 1972, Haritonov V.N. has the respectable positions in the Estonian banking system. Now, he is the Chairman of the Board of Tallinn Business Bank. Most considerable methodological projects and practical results of Haritonov V.N. are related to economic sciences, and, above all, to banking field, including automation of banking system, banking statistics, etc. Along with a series of publications, Haritonov V.N. has participated in many scientific and applied forums on banking economics.

Explorations in Monte Carlo Methods

Explorations in Monte Carlo Methods
Author: Ronald W. Shonkwiler
Publisher: Springer Science & Business Media
Total Pages: 249
Release: 2009-08-11
Genre: Mathematics
ISBN: 0387878378

Monte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range of scientific and engineering problems. Applications covered in this book include optimization, finance, statistical mechanics, birth and death processes, and gambling systems. Explorations in Monte Carlo Methods provides a hands-on approach to learning this subject. Each new idea is carefully motivated by a realistic problem, thus leading from questions to theory via examples and numerical simulations. Programming exercises are integrated throughout the text as the primary vehicle for learning the material. Each chapter ends with a large collection of problems illustrating and directing the material. This book is suitable as a textbook for students of engineering and the sciences, as well as mathematics.

Programming Languages and Systems in Computational Economics and Finance

Programming Languages and Systems in Computational Economics and Finance
Author: Soren Bo Nielsen
Publisher: Springer Science & Business Media
Total Pages: 462
Release: 2012-12-06
Genre: Business & Economics
ISBN: 146151049X

The developments within the computationally and numerically oriented ar eas of Operations Research, Finance, Statistics and Economics have been sig nificant over the past few decades. Each area has been developing its own computer systems and languages that suit its needs, but there is relatively little cross-fertilization among them yet. This volume contains a collection of papers that each highlights a particular system, language, model or paradigm from one of the computational disciplines, aimed at researchers and practitioners from the other fields. The 15 papers cover a number of relevant topics: Models and Modelling in Operations Research and Economics, novel High-level and Object-Oriented approaches to programming, through advanced uses of Maple and MATLAB, and applications and solution of Differential Equations in Finance. It is hoped that the material in this volume will whet the reader's appetite for discovering and exploring new approaches to old problems, and in the longer run facilitate cross-fertilization among the fields. We would like to thank the contributing authors, the reviewers, the publisher, and last, but not least, Jesper Saxtorph, Anders Nielsen, and Thomas Stidsen for invaluable technical assistance.