This volume presents a concise and practical overview of statistical methods and tables not readily available in other publications. It begins with a review of the commonly used continuous and discrete probability distributions. Several useful distributions that are not so common and less understood are described with examples and applications in full detail: discrete normal, left-partial, right-partial, left-truncated normal, right-truncated normal, lognormal, bivariate normal, and bivariate lognormal. Table values are provided with examples that enable researchers to easily apply the distributions to real applications and sample data. The left- and right-truncated normal distributions offer a wide variety of shapes in contrast to the symm...
Distribution, density function, standard deviations, normal distributionThe bivariate normal distrib...
This thesis deals with truncated distributions. Firstly, the case of the truncated normal distributi...
In this paper two new bivariate distributions are defined and studied. They are two-variate versions...
The second edition (1st in 2006) of the Handbook of Statistical Distributions with Applications is a...
This article provides a mathematical approximation model of the general double-sided truncated norma...
Frequency distributions. Summary statistics. Bivariate frequency distributions. Conditional sample m...
Lognormal distributions are one of the most commonly studied models in the sta tistical literature ...
Throughout the physical and social sciences, researchers face the challenge of fitting statistical d...
This concise, yet thorough, book is enhanced with simulations and graphs to build the intuition of r...
The revised second edition of this textbook provides the reader with a solid foundation in probabili...
A unified treatment of three types of zero class truncation for bivariate discrete distributions is ...
Now in its second edition, this textbook serves as an introduction to probability and statistics for...
Cataloged from PDF version of article.In random truncation models one observes the i.i.d. pairs (Ti≤...
This book contains a selection of the papers presented at the meeting `Distributions with given marg...
This compendium, created by Dr. Michael P. McLaughlin, describes distributions appropriate for the m...
Distribution, density function, standard deviations, normal distributionThe bivariate normal distrib...
This thesis deals with truncated distributions. Firstly, the case of the truncated normal distributi...
In this paper two new bivariate distributions are defined and studied. They are two-variate versions...
The second edition (1st in 2006) of the Handbook of Statistical Distributions with Applications is a...
This article provides a mathematical approximation model of the general double-sided truncated norma...
Frequency distributions. Summary statistics. Bivariate frequency distributions. Conditional sample m...
Lognormal distributions are one of the most commonly studied models in the sta tistical literature ...
Throughout the physical and social sciences, researchers face the challenge of fitting statistical d...
This concise, yet thorough, book is enhanced with simulations and graphs to build the intuition of r...
The revised second edition of this textbook provides the reader with a solid foundation in probabili...
A unified treatment of three types of zero class truncation for bivariate discrete distributions is ...
Now in its second edition, this textbook serves as an introduction to probability and statistics for...
Cataloged from PDF version of article.In random truncation models one observes the i.i.d. pairs (Ti≤...
This book contains a selection of the papers presented at the meeting `Distributions with given marg...
This compendium, created by Dr. Michael P. McLaughlin, describes distributions appropriate for the m...
Distribution, density function, standard deviations, normal distributionThe bivariate normal distrib...
This thesis deals with truncated distributions. Firstly, the case of the truncated normal distributi...
In this paper two new bivariate distributions are defined and studied. They are two-variate versions...