Atlantis Studies in Probability and Statistics
7 primary works
Book 3
An Introduction to Order Statistics
by Mohammad Ahsanullah, Valery B. Nevzorov, and Mohammad Shakil
This book presents the theory of order statistics in a way, such that beginners can get easily acquainted with the very basis of the theory without having to work through heavily involved techniques. At the same time more experienced readers can check their level of understanding and polish their knowledge with certain details. This is achieved by, on the one hand, stating the basic formulae and providing many useful examples to illustrate the theoretical statements, while on the other hand an upgraded list of references will make it easier to gain insight into more specialized results. Thus this book is suitable for a readership working in statistics, actuarial mathematics, reliability engineering, meteorology, hydrology, business economics, sports analysis and many more.
Book 4
Normal and Students t Distributions and Their Applications
by Mohammad Ahsanullah, B. M. Golam Kibria, and Mohammad Shakil
Book 5
This book contains entirely new results, not to be found elsewhere. Furthermore, additional results scattered elsewhere in the literature are clearly presented. Several well-known distributions such as Weibull distributions, exponentiated Burr type XII distributions and exponentiated exponential distributions and their properties are demonstrated. Analysis of real as well as well-simulated data are analyzed. A number of inferences based on a finite mixture of distributions are also presented.
Book 6
Records via Probability Theory
by Mohammad Ahsanullah and Valery B. Nevzorov
Book 7
Characterizations of Univariate Continuous Distributions
by Mohammad Ahsanullah
Book 8
Book 9
Ordered Random Variables: Theory and Applications
by Muhammad Qaiser Shahbaz, Mohammad Ahsanullah, Saman Hanif Shahbaz, and Bander M. Al-Zahrani
Ordered Random Variables have attracted several authors. The basic building block of Ordered Random Variables is Order Statistics which has several applications in extreme value theory and ordered estimation. The general model for ordered random variables, known as Generalized Order Statistics has been introduced relatively recently by Kamps (1995).