Normal Weighted Inverse Gaussian Distributions and Em Algorithm With Appliactions to Risk Measures and Dependence Modelling
Chapter One
1.0 INTRODUCTION:
This chapter introduces the Normal Weighted Inverse Gaussian Distributions and Em Algorithm With Appliactions to Risk Measures and Dependence Modelling and its relevance, states the research problems, research questions, and objectives, provides a background of the study, and should also include the research hypothesis [INTRO57535]…
Chapter Two: Literature Review
2.0 INTRODUCTION:
This chapter provides the background and context of the research problems, reviews the existing literature on the Normal Weighted Inverse Gaussian Distributions and Em Algorithm With Appliactions to Risk Measures and Dependence Modelling, and acknowledges the contributions of scholars who have previously conducted similar research [REV57535] …