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Page: 104
 
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  • TITLE
  • CERTIFICATE
  • DECLARATION
  • ACKNOWLEDGEMENT
  • CONTENTS
  • 1. INTRODUCTION
  • 1.1 Introduction and Review of the Literature
  • 1.2 Summary of the Present Work
  • 2. LOG-SYMMETRIC DISTRIBUTIONS
  • 2.1 Introduction
  • 2.2 Definition and Properties
  • 2.2.1 Properties
  • 2.3 Some Examples of Log-Symmetric Distributions.
  • 2.3.1 A Mixture of Pareto and Power Distributions
  • 2.3.2 Lognormal Distribution
  • 2.3.3 Log-Laplace Distribution
  • 2.3.4 Loglogistic Distribution
  • 2.3.5 Cauchy Distribution
  • 2.4 Stable Distribution
  • 3. A CLASS OF DOUBLE LOG-SYMMETRIC DISTRIBUTIONS
  • 3.1 Introduction
  • 3.2 Class of Distributions
  • 3.2.1 Table of Distribution Functions
  • 3.3 Some Properties
  • 3.3.1 A Characterization of Cauchy Distribution
  • 3.4 Generation Algorithm
  • 3.4.1 Acceptance-Rejection Method
  • 3.4.2 Acceptance-Compliment Method
  • 3.5 Some Related Works
  • 4. ESTIMATION OF PARAMETERS OF DOUBLE LOG-SYMMETRIC DISTRIBUTIONS
  • 4.1 Introduction
  • 4.2 Estimation of Location Parameter Using Quasi - mid range
  • 4.3 Estimation of Scale Parameter Using Quasi - range
  • 4.4 Numerical Illustrations
  • 4.5 Window Estimator for Index Parameter p of the Generalized Cauchy Distribution
  • 4.5.1 Method of Estimation
  • 4.5.2 Results of a Simulation Experiment
  • 5. LOGSYMMETRIC DISTRIBUTIONS AND UNDER-REPORTING
  • 5.1 Introduction
  • 5.2 Case 1: Actual Variable Follows Log-Laplace distribution
  • 5.3 Estimation of Parameters
  • 5.4 Case 2: Actual Variable Follows Modified Form of log-Laplace distribution
  • 5.5 Maximum Likelihood Estimation
  • 5.6 A Case Study
  • APPENDIX
  • APPENDIX A1 Programme for Estimating Location Parameter and Scale parameter using Quasi Mid-range and Quasi-range
  • APPENDIX A2 Programme for estimating p of generalized Cauchy distribution v z window estimate
  • APPENDIX A3 Programme for estimating p of generalized Cauchy distribution viz window estimate (Acceptance Rejection Method)
  • APPENDIX A4 Programmes for density plot using mathstatica package
  • REFERENCES