Continuous Bivariate Distributions
Title | Continuous Bivariate Distributions PDF eBook |
Author | N. Balakrishnan |
Publisher | Springer Science & Business Media |
Pages | 714 |
Release | 2009-05-31 |
Genre | Mathematics |
ISBN | 0387096140 |
Along with a review of general developments relating to bivariate distributions, this volume also covers copulas, a subject which has grown immensely in recent years. In addition, it examines conditionally specified distributions and skewed distributions.
Probability and Statistical Inference
Title | Probability and Statistical Inference PDF eBook |
Author | J.G. Kalbfleisch |
Publisher | Springer Science & Business Media |
Pages | 355 |
Release | 2012-12-06 |
Genre | Mathematics |
ISBN | 1461210968 |
A carefully written text, suitable as an introductory course for second or third year students. The main scope of the text guides students towards a critical understanding and handling of data sets together with the ensuing testing of hypotheses. This approach distinguishes it from many other texts using statistical decision theory as their underlying philosophy. This volume covers concepts from probability theory, backed by numerous problems with selected answers.
Probability And Statistics For Economists
Title | Probability And Statistics For Economists PDF eBook |
Author | Yongmiao Hong |
Publisher | World Scientific Publishing Company |
Pages | 592 |
Release | 2017-11-02 |
Genre | Business & Economics |
ISBN | 9813228830 |
Probability and Statistics have been widely used in various fields of science, including economics. Like advanced calculus and linear algebra, probability and statistics are indispensable mathematical tools in economics. Statistical inference in economics, namely econometric analysis, plays a crucial methodological role in modern economics, particularly in empirical studies in economics.This textbook covers probability theory and statistical theory in a coherent framework that will be useful in graduate studies in economics, statistics and related fields. As a most important feature, this textbook emphasizes intuition, explanations and applications of probability and statistics from an economic perspective.
Continuous Bivariate Distributions, Emphasising Applications
Title | Continuous Bivariate Distributions, Emphasising Applications PDF eBook |
Author | T. P. Hutchinson |
Publisher | |
Pages | 412 |
Release | 1990-01-01 |
Genre | Distribution (Probability theory) |
ISBN | 9780731672066 |
Continuous Bivariate Distributions
Title | Continuous Bivariate Distributions PDF eBook |
Author | N Balakrishnan |
Publisher | Springer |
Pages | 688 |
Release | 2009-06-22 |
Genre | Mathematics |
ISBN | 9780387096131 |
Along with a review of general developments relating to bivariate distributions, this volume also covers copulas, a subject which has grown immensely in recent years. In addition, it examines conditionally specified distributions and skewed distributions.
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.
Continuous Multivariate Distributions, Volume 1
Title | Continuous Multivariate Distributions, Volume 1 PDF eBook |
Author | Samuel Kotz |
Publisher | John Wiley & Sons |
Pages | 752 |
Release | 2019-01-17 |
Genre | Mathematics |
ISBN | 0471183873 |
Seit dem Erscheinen der ersten Auflage dieses Werkes (1972) hat sich das Gebiet der kontinuierlichen multivariaten Verteilungen rasch weiterentwickelt. Moderne Anwendungsfelder sind die Erforschung von Hochwasser, Erdbeben, Regenfällen und Stürmen. Entsprechend wurde das Buch überarbeitet und erweitert: Nunmehr zwei Bände beschreiben eine Vielzahl multivariater Verteilungsmodelle anhand zahlreicher Beispiele. (05/00)