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Model Based Inference in the Life Sciences: A Primer on Evidence by David R. And

Description: Model Based Inference in the Life Sciences by David R. Anderson Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This textbook introduces a science philosophy called "information theoretic" based on Kullback-Leibler information theory. It focuses on a science philosophy based on "multiple working hypotheses" and statistical models to represent them. Publisher Description The abstract concept of "information" can be quantified and this has led to many important advances in the analysis of data in the empirical sciences. This text focuses on a science philosophy based on "multiple working hypotheses" and statistical models to represent them. The fundamental science question relates to the empirical evidence for hypotheses in this set—a formal strength of evidence. Kullback-Leibler information is the information lost when a model is used to approximate full reality. Hirotugu Akaike found a link between K-L information (a cornerstone of information theory) and the maximized log-likelihood (a cornerstone of mathematical statistics). This combination has become the basis for a new paradigm in model based inference. The text advocates formal inference from all the hypotheses/models in the a priori set—multimodel inference.This compelling approach allows a simple ranking of the science hypothesis and their models. Simple methods are introduced for computing the likelihood of model i, given the data; the probability of model i, given the data; and evidence ratios. These quantities represent a formal strength of evidence and are easy to compute and understand, given the estimated model parameters and associated quantities (e.g., residual sum of squares, maximized log-likelihood, and covariance matrices). Additional forms of multimodel inference include model averaging, unconditional variances, and ways to rank the relative importance of predictor variables.This textbook is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or professionals in various universities, agencies or institutes. Readers are expected to have a background in general statistical principles, regression analysis, and some exposure to likelihood methods. This is not an elementary text as it assumes reasonable competence in modeling and parameterestimation. Author Biography David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. Born in Grand Forks, North Dakota, he earned his B.S., M.S., and Ph.D. degrees from Purdue University. Professor Anderson has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration, and he was coordinator of the colleges first executive program. In addition to teaching introductory statistics for business students, Professor Anderson has taught graduate-level courses in re Details ISBN 0387740732 ISBN-13 9780387740737 Title Model Based Inference in the Life Sciences Author David R. Anderson Format Paperback Year 2007 Pages 184 Edition 1st Publisher Springer-Verlag New York Inc. GE_Item_ID:137611296; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Model Based Inference in the Life Sciences: A Primer on Evidence by David R. And

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9780387740737

Book Title: Model Based Inference in the Life Sciences

Number of Pages: Xxiv, 184 Pages

Language: English

Publication Name: Model Based Inference in the Life Sciences : a Primer on Evidence

Publisher: Springer New York

Subject: Life Sciences / Ecology, Biostatistics, Environmental Science (See Also Chemistry / Environmental), Life Sciences / General, Logic

Item Height: 0.1 in

Publication Year: 2007

Item Weight: 23.6 Oz

Type: Textbook

Author: David R. Anderson

Item Length: 9.3 in

Subject Area: Philosophy, Science, Medical

Item Width: 6.1 in

Format: Perfect

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