Author: Michael SpivakPublisher:
ISBN: 9780914098928
Category : Calculus
Languages : en
Pages : 448
Book Description
Combined Answer Book for Calculus, Third and Fourth Editions
Author: Michael SpivakPublisher:
ISBN: 9780914098928
Category : Calculus
Languages : en
Pages : 448
Book Description
Calculus
Author: Michael SpivakPublisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 680
Book Description
Combined Answer Book for Calculus Third and Fourth Editions
Author: Michael SpivakPublisher:
ISBN: 9780914098959
Category :
Languages : en
Pages : 448
Book Description
Calculus and Analytic Geometry
Author: Douglas F. RiddlePublisher: PWS Publishing Company
ISBN:
Category : Mathematics
Languages : en
Pages : 1278
Book Description
The Hitchhiker's Guide to Calculus
Author: Michael SpivakPublisher: Mathematical Association of America (MAA)
ISBN:
Category : Mathematics
Languages : en
Pages : 132
Book Description
Catalog of Copyright Entries. Third Series
Author: Library of Congress. Copyright OfficePublisher: Copyright Office, Library of Congress
ISBN:
Category : Copyright
Languages : en
Pages : 1624
Book Description
Calculus: Single Variable Early Transcendentals (Fourth Edition)
Author: Dennis G. Zill and Warren S. WrightPublisher: Jones & Bartlett Publishers
ISBN: 0763762857
Category :
Languages : en
Pages : 1619
Book Description
Loss Models: From Data to Decisions, 4e Student Solutions Manual
Author: Stuart A. KlugmanPublisher: John Wiley & Sons
ISBN: 1118472020
Category : Business & Economics
Languages : en
Pages : 258
Book Description
Student Solutions Manual to Accompany Loss Models: From Data to Decisions, Fourth Edition. This volume is organised around the principle that much of actuarial science consists of the construction and analysis of mathematical models which describe the process by which funds flow into and out of an insurance system.
Mixed Models
Author: Eugene DemidenkoPublisher: John Wiley & Sons
ISBN: 1118592999
Category : Mathematics
Languages : en
Pages : 768
Book Description
Praise for the First Edition “This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one’s personal library.” —Journal of the American Statistical Association Mixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in R. The new edition provides in-depth mathematical coverage of mixed models’ statistical properties and numerical algorithms, as well as nontraditional applications, such as regrowth curves, shapes, and images. The book features the latest topics in statistics including modeling of complex clustered or longitudinal data, modeling data with multiple sources of variation, modeling biological variety and heterogeneity, Healthy Akaike Information Criterion (HAIC), parameter multidimensionality, and statistics of image processing. Mixed Models: Theory and Applications with R, Second Edition features unique applications of mixed model methodology, as well as: Comprehensive theoretical discussions illustrated by examples and figures Over 300 exercises, end-of-section problems, updated data sets, and R subroutines Problems and extended projects requiring simulations in R intended to reinforce material Summaries of major results and general points of discussion at the end of each chapter Open problems in mixed modeling methodology, which can be used as the basis for research or PhD dissertations Ideal for graduate-level courses in mixed statistical modeling, the book is also an excellent reference for professionals in a range of fields, including cancer research, computer science, and engineering.
Understanding Uncertainty
Author: Dennis V. LindleyPublisher: John Wiley & Sons
ISBN: 1118650239
Category : Mathematics
Languages : en
Pages : 434
Book Description
Praise for the First Edition "...a reference for everyone who is interested in knowing and handling uncertainty." —Journal of Applied Statistics The critically acclaimed First Edition of Understanding Uncertainty provided a study of uncertainty addressed to scholars in all fields, showing that uncertainty could be measured by probability, and that probability obeyed three basic rules that enabled uncertainty to be handled sensibly in everyday life. These ideas were extended to embrace the scientific method and to show how decisions, containing an uncertain element, could be rationally made. Featuring new material, the Revised Edition remains the go-to guide for uncertainty and decision making, providing further applications at an accessible level including: A critical study of transitivity, a basic concept in probability A discussion of how the failure of the financial sector to use the proper approach to uncertainty may have contributed to the recent recession A consideration of betting, showing that a bookmaker's odds are not expressions of probability Applications of the book’s thesis to statistics A demonstration that some techniques currently popular in statistics, like significance tests, may be unsound, even seriously misleading, because they violate the rules of probability Understanding Uncertainty, Revised Edition is ideal for students studying probability or statistics and for anyone interested in one of the most fascinating and vibrant fields of study in contemporary science and mathematics.