Search Results for "inference"

Inference to the Best Explanation

Inference to the Best Explanation

  • Author: Peter Lipton
  • Publisher: Psychology Press
  • ISBN: 9780415242028
  • Category: Philosophy
  • Page: 219
  • View: 3253
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This publication is an unrivalled exposition of a theory of particular interest to students both of epistemology and the philosophy of science.

Parametric Statistical Inference

Parametric Statistical Inference

  • Author: James K. Lindsey
  • Publisher: Oxford University Press
  • ISBN: 9780198523598
  • Category: Mathematics
  • Page: 490
  • View: 2105
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Inference involves drawing conclusions about some general phenomenon from limited empirical observations in the face of random variability. Two central unifying components of statistics are the likelihood function and the exponential family. These are here brought together for the firsttime as the central themes of a book on statistical inference. This book is appropriate as an advanced undergraduate or graduate text in mathematical statistics.

Probability Theory and Statistical Inference

Probability Theory and Statistical Inference

Econometric Modeling with Observational Data

  • Author: Aris Spanos
  • Publisher: Cambridge University Press
  • ISBN: 9780521424080
  • Category: Business & Economics
  • Page: 815
  • View: 1216
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A major textbook for students taking introductory courses in probability theory and statistical inference.

Ecological Inference

Ecological Inference

New Methodological Strategies

  • Author: Gary King,Martin A. Tanner,Ori Rosen
  • Publisher: Cambridge University Press
  • ISBN: 9780521542807
  • Category: Political Science
  • Page: 421
  • View: 1146
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Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays, first published in 2004, offers many important contributions to the study of ecological inference.

Essentials of Statistical Inference

Essentials of Statistical Inference

  • Author: G. A. Young,R. L. Smith,R. L. (University of North Carolina Smith, Chapel Hill)
  • Publisher: Cambridge University Press
  • ISBN: 9780521839716
  • Category: Mathematics
  • Page: 225
  • View: 7195
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Concise account of main approaches; first textbook to synthesize modern computation with basic theory.

Statistical Inference Based on the likelihood

Statistical Inference Based on the likelihood

  • Author: Adelchi Azzalini
  • Publisher: Routledge
  • ISBN: 1351414461
  • Category: Mathematics
  • Page: 352
  • View: 4945
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The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood. Focusing on those methods, which have both a solid theoretical background and practical relevance, the author gives formal justification of the methods used and provides numerical examples with real data.

Grammatical Inference: Learning Syntax from Sentences

Grammatical Inference: Learning Syntax from Sentences

Third International Colloquium, ICGI-96, Montpellier, France, September 25 - 27, 1996. Proceedings

  • Author: Laurent Miclet,Colin De la Higuera
  • Publisher: Springer Science & Business Media
  • ISBN: 9783540617785
  • Category: Grammar, Comparative and general
  • Page: 325
  • View: 1788
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This book constitutes the refereed proceedings of the Third International Colloquium on Grammatical Inference, ICGI-96, held in Montpellier, France, in September 1996. The 25 revised full papers contained in the book together with two invited key papers by Magerman and Knuutila were carefully selected for presentation at the conference. The papers are organized in sections on algebraic methods and algorithms, natural language and pattern recognition, inference and stochastic models, incremental methods and inductive logic programming, and operational issues.

Statistical Inference

Statistical Inference

  • Author: Paul H. Garthwaite,Ian T. Jolliffe,I. T. Jolliffe,Byron Jones
  • Publisher: Oxford University Press on Demand
  • ISBN: 9780198572268
  • Category: Mathematics
  • Page: 328
  • View: 9254
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Statistical inference is the foundation on which much of statistical practice is built. This book covers the topic at a level suitable for students and professionals who need to understand these foundations.

Inference on the Low Level

Inference on the Low Level

An Investigation Into Deduction, Nonmonotonic Reasoning, and the Philosophy of Cognition

  • Author: Hannes Leitgeb
  • Publisher: Springer Science & Business Media
  • ISBN: 9781402024924
  • Category: Computers
  • Page: 383
  • View: 5309
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Originally presented as the author's thesis (Ph. D.)--University of Salzburg, 2001.

Argument, Inference and Dialectic

Argument, Inference and Dialectic

Collected Papers on Informal Logic with an Introduction by Hans V. Hansen

  • Author: R.C. Pinto
  • Publisher: Springer Science & Business Media
  • ISBN: 9401707839
  • Category: Philosophy
  • Page: 148
  • View: 8664
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This volume contains 12 papers addressed to researchers and advanced students in informal logic and related fields, such as argumentation, formal logic, and communications. Among the issues discussed are attempts to rethink the nature of argument and of inference, the role of dialectical context, and the standards for evaluating inferences, and to shed light on the interfaces between informal logic and argumentation theory, rhetoric, formal logic and cognitive psychology.