Detailed Report of the Superintendent of Insurance:Transactions for the Year 1920 (Classic Reprint) Ontario Superintendent of Insurance
Detailed Report of the Superintendent of Insurance:Transactions for the Year 1919 (Classic Reprint) Ontario Department of Insurance
Detailed Report of the Inspector of Insurance, 1891 (Classic Reprint): Ontario Insurance Inspector´s Office
Detailed Report of the Inspector of Insurance and Registrar of Friendly Societies:Transactions for the Year 1911 (Classic Reprint) A. R. Boswell
The volume offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It includes detailed discussions of the fundamental models regarding claim sizes, claim arrivals, the total claim amount, and their probabilistic properties. Throughout the volume the language of stochastic processes is used for describing the dynamics of an insurance portfolio in claim size, space and time. Special emphasis is given to the phenomena which are caused by large claims in these models. The reader learns how the underlying probabilistic structures allow determining premiums in a portfolio or in an individual policy. The second edition contains various new chapters that illustrate the use of point process techniques in non-life insurance mathematics. Poisson processes play a central role. Detailed discussions show how Poisson processes can be used to describe complex aspects in an insurance business such as delays in reporting, the settlement of claims and claims reserving. Also the chain ladder method is explained in detail. More than 150 figures and tables illustrate and visualize the theory. Every section ends with numerous exercises. An extensive bibliography, annotated with various comments sections with references to more advanced relevant literature, makes the volume broadly and easily accessible.
This audiobook is a comprehensive guide to selling auto, home, and umbrella Insurance. I´ve also put in some commercial lines tips as well. If you´re having a hard time selling insurance based on value and keep getting price objections, then this guide might be what you have been looking for. I´ve detailed out methods, rebuttals, tips, and techniques to help. This guide answers a lot of common questions I receive from agents. It´s tougher now than ever to compete as an insurance agent. Give it a listen, and let me know what you think. 1. Language: English. Narrator: Oliver Hunt. Audio sample: http://samples.audible.de/bk/acx0/115241/bk_acx0_115241_sample.mp3. Digital audiobook in aax.
Thirty-Ninth Annual Report of the Superintendent of Insurance of the State of Kansas for the Year Ending December 31, 1908:Contains Detailed Statements of Mutual and Stock Fire Companies of Kansas, and Fire and Fire-and-Marine Companies of Other States a Kansas Insurance Department
Forty-Ninth Annual Report of the Superintendent of Insurance of the State of Kansas for the Year Ending December 31, 1918:Contains Detailed Statements of Mutual and Stock Fire Companies of Kansas and Fire and Fire-and-Marine Companies of Other States and Kansas Insurance Department
Forty-Second Annual Report of the Superintendent of Insurance of the State of Kansas, for the Year Ending December 31, 1911:Contains Detailed Statements of Mutual and Stock Fire Companies of Kansas, and Fire and Fire-and-Marine Companies of Other States Kansas Superintendent of Insurance
Recurrent event data arise in diverse fields such as medicine, public health, insurance, social science, economics, manufacturing and reliability. The purpose of this book is to present models and statistical methods for the analysis of recurrent event data. No single comprehensive treatment of these areas currently exists. The authors provide broad but detailed coverage of the major approaches to analysis, while also emphasizing the modeling assumptions that they are based on. Thus, they consider important models such as Poisson and renewal processes, with extensions to incorporate covariates or random effects.More general intensity-based models are also considered, as well as simpler models that focus on rate or mean functions. Parametric, nonparametric and semiparametric methodologies areall covered, with clear descriptions of procedures for estimation, testing and model checking. Important practical topics such as variations in observation schemes or selection of individuals for study, the planning of randomized experiments, events of several types, and the prediction of future events are considered.Methods of modeling and analysis are illustrated through many examples taken from health research and industry. The objectives and interpretations of different analyses are discussed in detail, and issues of robustness are addressed. Statistical analysis of the examples is carried out with S-PLUS software and code is given for some examples.This book is directed at graduate students, researchers, and applied statisticians working in industry, government or academia. Some familiarity with survival analysis is beneficial since survival software is used to carry out many of the analyses considered. This book can be used as a textbook for a graduate course on the analysis of recurrent events or as a reference for a more general course on event history analysis. Problems are given at the end of chapters to reinforce the material presented and to provide additional background or extensions to certain topics.