Wiley Series in Probability and Statistics; Loss Models: From Data to Decisions and Solutions Manual Set, 3rd Edition by Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmo

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"This book provides in depth coverage of modelling techniques used throughout many branches of actuarial science … .The exceptional high standard of this book has made it a pleasure to read and review."

“This book will be necessary for all academic programs in actuarial science. It will also serve as an important reference for practicing actuaries.”

Student Solutions Manual to Accompany Understandable Statistics by Charles Henry Brase,Corrinne Pellillo Brase

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Provides solutions for the odd-numbered exercises in the student textbook.

The 4th Edition of Probability and Statistics by Morris H. DeGroot, Mark J. Schervish

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The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

Student Solutions Manual For Engineering Statistics, 5th Edition by Douglas C. Montgomery, George C. Runger, Norma F. Hubele

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Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process. 

Student Solutions Manual to Applied Statistics and Probability for Engineers by Douglas C. Montgomery, George C. Runger

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With Montgomery and Runger's best-selling engineering statistics text, you can learn how to apply statistics to real engineering situations. The text shows you how to use statistical methods to design and develop new products, and new manufacturing systems and processes. You'll gain a better understanding of how these methods are used in everyday work, and get a taste of practical engineering experience through real-world, engineering-based examples and exercises.

Exercises and Solutions Manual for Integration and Probability by Paul Malliavin

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"If I were asked to recommend texts to research students who need a grounding in integration theory this book would be on the list...The book is excellent" - C. Barnett, Imperial College of Science, Technology and Medicine, London

Probability and Statistics for Engineering and the Sciences by Jay L. Devore

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This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics--you'll also learn how to put the statistical methods to use. In addition, rather than focusing on rigorous mathematical development and potentially overwhelming derivations, Probability and Statistics for Engineering and the Sciences emphasizes concepts, models, methodology, and applications that facilitate your understanding.

A Student Solutions Manual for First Course in Statistics by Nancy T. Boudreau, Terry Sincich

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This manual contains completely worked-out solutions for all the odd-numbered exercises in the text, as well as completely worked-out solutions to all the exercises in the Review Exercises and Assessment Tests.

Student Solutions Manual to Statistics: Principles and Methods by Richard Arnold Johnson

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Johnson provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters have been updated with real-world data to make the material more relevant. The revised pedagogy will help them contextualize statistical concepts and procedures.

A Step By Step Approach: Student Solutions Manual for use with Elementary Statistics by Allan G. Bluman

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This text uses a non-theoretical approach to elementary statistics supported by examples. The applications are general in nature and the exercises include problems from agriculture, biology, business, economics, education, psychology, engineering, medicine, sociology and computer science.