About this title: Lagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations including, but not limited to: branching processes, queuing processes, stochastic processes, environmental toxicology, diffusion of information, ecology, strikes in industries, sales of new products, and production targets for optimum profits. This book presents a comprehensive, systematic treatment of the class of Lagrangian probability distributions, along with some of its families, their properties, and important applications.
Key features:
* Fills a gap in book literature
* Examines many new Lagrangian probability distributions, their numerous families, general and specific properties, and applications to a variety of different fields
* Presents background mathematical and statistical formulas for easy reference
* Detailed bibliography and index
* Exercises in many chapters
Graduate students and researchers with a good knowledge of standard statistical techniques and an interest in Lagrangian probability distributions will find this work valuable. It may be used as a reference text or in courses and seminars on Distribution Theory and Lagrangian Distributions. Applied scientists and researchers in environmental statistics, reliability, sales management, epidemiology, operations research, optimization in manufacturing and marketing, and infectious disease control will benefit immensely from the various applications in the book
Table Of Contents
Foreword
Preface
List of Tables
Abbreviations
Preliminary Information
Introduction
Mathematical Symbols and Results
Combinatorial and Factorial Symbols
Gamma and Beta Functions
Difference and Differential Calculus
Stirling Numbers
Hypergeometric Functions
Lagrange Expansions
Abel and Gould Series
Faa di Bruno's Formula
Probabilistic and Statistical Results
Probabilities and Random Variables
Expected Values
Moments and Moment Generating Functions
Cumulants and Cumulant Generating Functions
Probability Generating Functions
Inference
Lagrangian Probability Distributions
Introduction
Lagrangian Probability Distributions
Equivalence of the Two Classes of Lagrangian Distributions
Moments of Lagrangian Distributions
Applications of the Results on Mean and Variance
Convolution Property for Lagrangian Distributions
Probabilistic Structure of Lagrangian Distributions L(f; g; x)
Modified Power Series Distributions
Modified Power Series Based on Lagrange Expansions
MPSD as a Subclass of Lagrangian Distributions L(f; g; x)
Mean and Variance of a MPSD
Maximum Entropy Characterization of some MPSDs
Exercises
Properties of General Lagrangian Distributions
Introduction
Central Moments of Lagrangian Distribution L(f; g; x)
Central Moments of Lagrangian Distribution L1(f1; g; y)
Cumulants of Lagrangian Distribution L1(f1; g; y)
Applications
Relations between the Two Classes L(f; g; x) and L1(f1; g; y)
Some Limit Theorems for Lagrangian Distributions
Exercises
Quasi-Probability Models
Introduction
Quasi-Binomial Distribution I (QBD-I)
QBD-I as a True Probability Distribution
Mean and Variance of QBD-I
Negative Moments of QBD-I
QBD-I Model Based on Difference-Differential Equations
Maximum Likelihood Estimation
Quasi-Hypergeometric Distribution I
Quasi-Polya Distribution I
Quasi-Binomial Distribution II
QBD-II as a True Probability Model
Mean and Variance of QBD-II
Some Other Properties of QBD-II
Quasi-Hypergeometric Distribution II
Quasi-Polya Distribution II (QPD-II)
Special and Limiting Cases
Mean and Variance of QPD-II
Estimation of Parameters of QPD-II
Gould Series Distributions
Abel Series Distributions
Exercises
Some Urn Models
Introduction
A Generalized Stochastic Urn Model
Some Interrelations among Probabilities
Recurrence Relation for Moments
Some Applications of Prem Model
Urn Model with Predetermined Strategy for Quasi-Binomial Distribution I
Sampling without Replacement from Urn B
Polya-type Sampling from Urn B
Urn Model with Predetermined Strategy for Quasi-Polya Distribution II
Sampling with Replacement from Urn D
Sampling without Replacement from Urn D
Urn Model with Inverse Sampling
Exercises
Development of Models and Applications
Introduction
Branching Process
Queuing Process
G|D|1 Queue
M|G|1 Queue
Stochastic Model of Epidemics
Enumeration of Trees
Cascade Process
Exercises
Modified Power Series Distributions
Introduction
Generating Functions
Moments, Cumulants, and Recurrence Relations
Other Interesting Properties
Estimation
Maximum Likelihood Estimation of θ
Minimum Variance Unbiased Estimation
Interval Estimation
Some Characterizations
Related Distributions
Inflated MPSD
Left Truncated MPSD
Exercises
Some Basic Lagrangian Distributions
Introduction
Geeta Distribution
Definition
Generating Functions
Moments and Recurrence Relations
Other Interesting Properties
Physical Models Leading to Geeta Distribution
Estimation
Some Applications
Consul Distribution
Definition
Generating Functions
Moments and Recurrence Relations
Other Interesting Properties
Estimation
Some Applications
Borel Distribution
Definition
Generating Functions
Moments and Recurrence Relations
Other Interesting Properties
Estimation
Weighted Basic Lagrangian Distributions
Exercises
Generalized Poisson Distribution
Introduction and Definition
Generating Functions
Moments, Cumulants, and Recurrence Relations
Physical Models Leading to GPD
Other Interesting Properties
Estimation
Point Estimation
Interval Estimation
Confidence Regions
Statistical Testing
Test about Parameters
Chi-Square Test
Empirical Distribution Function Test
Characterizations
Applications
Truncated Generalized Poisson Distribution
Restricted Generalized Poisson Distribution
Introduction and Definition
Estimation
Hypothesis Testing
Other Related Distributions
Compound and Weighted GPD
Differences of Two GP Variates
Absolute Difference of Two GP Variates
Distribution of Order Statistics when Sample Size Is a GP Variate
The Normal and Inverse Gaussian Distributions
Exercises
Generalized Negative Binomial Distribution
Introduction and Definition
Generating Functions
Moments, Cumulants, and Recurrence Relations
Physical Models Leading to GNBD
Other Interesting Properties
Estimation
Point Estimation
Interval Estimation
Statistical Testing
Characterizations
Applications
Truncated Generalized Negative Binomial Distribution
Other Related Distributions
Poisson-Type Approximation
Generalized Logarithmic Series Distribution-Type Limit
Differences of Two GNB Variates
Weighted Generalized Negative Binomial Distribution
Exercises
Generalized Logarithmic Series Distribution
Introduction and Definition
Generating Functions
Moments, Cumulants, and Recurrence Relations
Other Interesting Properties
Estimation
Point Estimation
Interval Estimation
Statistical Testing
Characterizations
Applications
Related Distributions
Exercises
Lagrangian Katz Distribution
Introduction and Definition
Generating Functions
Moments, Cumulants, and Recurrence Relations
Other Important Properties
Estimation
Applications
Related Distributions
Basic LKD of Type I
Basic LKD of Type II
Basic GLKD of Type II
Exercises
Random Walks and Jump Models
Introduction
Simplest Random Walk with Absorbing Barrier at the Origin
Gambler's Ruin Random Walk
Generating Function of Ruin Probabilities in a Polynomial Random Walk
Trinomial Random Walks
Quadrinomial Random Walks
Binomial Random Walk (Jumps) Model
Polynomial Random Jumps Model
General Random Jumps Model
Applications
Exercises
Bivariate Lagrangian Distributions
Definitions and Generating Functions
Cumulants of Bivariate Lagrangian Distributions
Bivariate Modified Power Series Distributions
Introduction
Moments of BMPSD
Properties of BMPSD
Estimation of BMPSD
Some Bivariate Lagrangian Delta Distributions
Bivariate Lagrangian Poisson Distribution
Introduction
Moments and Properties
Special BLPD
Other Bivariate Lagrangian Distributions
Bivariate Lagrangian Binomial Distribution
Bivariate Lagrangian Negative Binomial Distribution
Bivariate Lagrangian Logarithmic Series Distribution
Bivariate Lagrangian Borel-Tanner Distribution
Bivariate Inverse Trinomial Distribution
Bivariate Quasi-Binomial Distribution
Exercises
Multivariate Lagrangian Distributions
Introduction
Notation and Multivariate Lagrangian Distributions
Means and Variance-Covariance
Multivariate Lagrangian Distributions (Special Form)
Multivariate Lagrangian Poisson Distribution
Multivariate Lagrangian Negative Binomial Distribution
Multivariate Lagrangian Logarithmic Series Distribution
Multivariate Lagrangian Delta Distributions
Multivariate Modified Power Series Distributions
Multivariate Lagrangian Poisson Distribution
Multivariate Lagrangian Negative Binomial Distribution
Multivariate Lagrangian Logarithmic Series Distribution
Moments of the General Multivariate MPSD
Moments of Multivariate Lagrangian Poisson Distribution
Moments of Multivariate Lagrangian Negative Binomial Distribution
Multivariate MPSDs in Another Form
Multivariate Lagrangian Quasi-Polya Distribution
Applications of Multivariate Lagrangian Distributions
Queuing Processes
Random Branching Processes with k Types of Females
Exercises
Computer Generation of Lagrangian Variables
Introduction and Generation Procedures
Inversion Method
Alias Method
Basic Lagrangian Random Variables
Simple Delta Lagrangian Random Variables
Generalized Poisson Random Variables
Generalized Negative Binomial Random Variables
Generalized Logarithmic Series Random Variables
Some Quasi-Type Random Variables
References
Index