Author : Stuart A. Klugman
Publisher : Wiley
Page : 0 pages
File Size : 31,75 MB
Release : 2009-06-09
Category : Business & Economics
ISBN : 9780470487440
This set includes the textbook, Loss Models: From Data to Decisions, Third Edition, the solutions manual, Loss Models: From Data to Decisions, Solutions Manual, Third Edition and the ExamPrep for Loss Models: From Data to Decisions, Online, 3rd Edition. To explore our additional offerings in actuarial exam preparation visit www.wiley.com/go/actuarialexamprep.
Author : William Q. Meeker
Publisher : John Wiley & Sons
Page : 648 pages
File Size : 47,65 MB
Release : 2017-04-10
Category : Mathematics
ISBN : 0471687170
Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervals—such as prediction intervals, tolerance intervals and confidence intervals on distribution quantiles—frequently needed in practice, but often neglected in introductory courses. Vastly improved computer capabilities over the past 25 years have resulted in an explosion of the tools readily available to analysts. This second edition—more than double the size of the first—adds these new methods in an easy-to-apply format. In addition to extensive updating of the original chapters, the second edition includes new chapters on: Likelihood-based statistical intervals Nonparametric bootstrap intervals Parametric bootstrap and other simulation-based intervals An introduction to Bayesian intervals Bayesian intervals for the popular binomial, Poisson and normal distributions Statistical intervals for Bayesian hierarchical models Advanced case studies, further illustrating the use of the newly described methods New technical appendices provide justification of the methods and pathways to extensions and further applications. A webpage directs readers to current readily accessible computer software and other useful information. Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition is an up-to-date working guide and reference for all who analyze data, allowing them to quantify the uncertainty in their results using statistical intervals.
Author : Stuart A. Klugman
Publisher : Wiley
Page : 0 pages
File Size : 29,13 MB
Release : 2009-05-26
Category : Mathematics
ISBN : 9780470487457
eKlugman ExamPrep is an exciting new online product designed to help actuaries improve their examination skills. eKlugman ExamPrep provides an interactive method for working most of the exercises in Loss Models including, as well as providing, hints and step-by-step solutions. Many of the questions have a feature that makes random changes so that the same question can be worked more than once. The questions cover simulations, log normal distributions, aggregate loss models and operational risks, among a host of other actuarial topics. eKlugman ExamPrep also includes multiple forms of simulated exams with questions specially written for exam C/4 practice. The product features a built-in record keeping system in order to reinforce further practice and promote customization of study skills. This online product presents useful tips in understanding the test material, and it aids users in achieving specific exam goals. The material is a ‘must have’ for all aspiring and practicing actuaries who desire a fast and efficient alternative to using the traditional coursebook approach. Price includes 6-month access/subscription. Once purchased, the product is nonreturnable. Upon ordering, customers will receive an email that contains their registration code which is needed to access the eKlugman ExamPrep website. OR try the NEW updated version of ExamPrep, Loss Models Online 3e. This new product works the same as ExamPrep, but with updated content and enhanced functionality. To explore our additional offerings in actuarial exam preparation visit www.wiley.com/go/actuarialexamprep .
Author : Stuart A. Klugman
Publisher : John Wiley & Sons
Page : 218 pages
File Size : 39,32 MB
Release : 2018-12-18
Category : Business & Economics
ISBN : 1119538033
Solutions manual to accompany a text with comprehensive coverage of actuarial modeling techniques The Student Solutions Manual to Accompany Loss Models: From Data to Decisions covers solutions related to the companion text. The manual and text are designed for use by actuaries and those studying for the profession. Readers can learn modeling techniques used across actuarial science. Knowledge of the techniques is also beneficial for those who use loss data to build models for risk assessment.
Author : Cliff T. Ragsdale
Publisher :
Page : pages
File Size : 16,33 MB
Release : 1995
Category :
ISBN : 9780760033296
Valuable software, realistic examples, and fascinating topics . . . everything you need to master the most widely used management science techniques using Microsoft Excel is right here! Learning to make decisions in today's business world takes training and experience. Cliff Ragsdale--the respected innovator in the field of management science--is an outstanding guide to help you learn the skills you need, use Microsoft Excel for Windows to implement those skills, and gain the confidence to apply what you learn to real business situations. SPREADSHEET MODELING AND DECISION ANALYSIS gives you step-by-step instructions and annotated screen shots to make examples easy to follow. Plus, interesting sections called The World of Management Science show you how each topic has been applied in a real company.
Author : Stuart A. Klugman
Publisher : John Wiley & Sons
Page : 245 pages
File Size : 34,18 MB
Release : 2019-01-07
Category : Business & Economics
ISBN : 111953805X
Loss Models: From Data to Decisions, Fifth Edition continues to supply actuaries with a practical approach to the key concepts and techniques needed on the job. With updated material and extensive examples, the book successfully provides the essential methods for using available data to construct models for the frequency and severity of future adverse outcomes. The book continues to equip readers with the tools needed for the construction and analysis of mathematical models that describe the process by which funds flow into and out of an insurance system. Focusing on the loss process, the authors explore key quantitative techniques including random variables, basic distributional quantities, and the recursive method, and discuss techniques for classifying and creating distributions. Parametric, non-parametric, and Bayesian estimation methods are thoroughly covered along with advice for choosing an appropriate model. Throughout the book, numerous examples showcase the real-world applications of the presented concepts, with an emphasis on calculations and spreadsheet implementation. Loss Models: From Data to Decisions, Fifth Edition is an indispensable resource for students and aspiring actuaries who are preparing to take the SOA and CAS examinations. The book is also a valuable reference for professional actuaries, actuarial students, and anyone who works with loss and risk models.
Author : Mark M. Meerschaert
Publisher : Elsevier
Page : 360 pages
File Size : 45,43 MB
Release : 2007-06-18
Category : Mathematics
ISBN : 9780123708571
Mathematical Modeling, Third Edition is a general introduction to an increasingly crucial topic for today's mathematicians. Unlike textbooks focused on one kind of mathematical model, this book covers the broad spectrum of modeling problems, from optimization to dynamical systems to stochastic processes. Mathematical modeling is the link between mathematics and the rest of the world. Meerschaert shows how to refine a question, phrasing it in precise mathematical terms. Then he encourages students to reverse the process, translating the mathematical solution back into a comprehensible, useful answer to the original question. This textbook mirrors the process professionals must follow in solving complex problems. Each chapter in this book is followed by a set of challenging exercises. These exercises require significant effort on the part of the student, as well as a certain amount of creativity. Meerschaert did not invent the problems in this book--they are real problems, not designed to illustrate the use of any particular mathematical technique. Meerschaert's emphasis on principles and general techniques offers students the mathematical background they need to model problems in a wide range of disciplines. Increased support for instructors, including MATLAB material New sections on time series analysis and diffusion models Additional problems with international focus such as whale and dolphin populations, plus updated optimization problems
Author : Simon Benninga
Publisher : MIT Press
Page : 648 pages
File Size : 14,28 MB
Release : 2000
Category : Business & Economics
ISBN : 9780262024822
Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. "Financial Modeling" bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial problems with spreadsheets. The CD-ROM contains Excel* worksheets and solutions to end-of-chapter exercises. 634 illustrations.
Author : Jeffrey D. Camm
Publisher : Cengage AU
Page : 882 pages
File Size : 26,84 MB
Release : 2020-03-10
Category : Business & Economics
ISBN : 0357131789
Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts.
Author : Iain Pardoe
Publisher : John Wiley & Sons
Page : 319 pages
File Size : 23,69 MB
Release : 2013-01-07
Category : Mathematics
ISBN : 1118345045
Praise for the First Edition "The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions . . . the examples are wonderful." —The American Statistician Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications. The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling. In addition, the Second Edition features clarification and expansion of challenging topics, such as: Transformations, indicator variables, and interaction Testing model assumptions Nonconstant variance Autocorrelation Variable selection methods Model building and graphical interpretation Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos. With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level. The book also serves as a valuable resource for professionals and researchers who utilize statistical methods for decision-making in their everyday work.
