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Statistical Inference

Af: Roger Berger, George Casella Engelsk Hardback
SPAR
kr 128

Statistical Inference

Af: Roger Berger, George Casella Engelsk Hardback

This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.

Features

  • The classic graduate-level textbook on statistical inference
  • Develops elements of statistical theory from first principles of probability
  • Written in a lucid style accessible to anyone with some background in calculus
  • Covers all key topics of a standard course in inference
  • Hundreds of examples throughout to aid understanding
  • Each chapter includes an extensive set of graduated exercises

Statistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations.

This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.

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This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.

Features

  • The classic graduate-level textbook on statistical inference
  • Develops elements of statistical theory from first principles of probability
  • Written in a lucid style accessible to anyone with some background in calculus
  • Covers all key topics of a standard course in inference
  • Hundreds of examples throughout to aid understanding
  • Each chapter includes an extensive set of graduated exercises

Statistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations.

This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.

Produktdetaljer
Sprog: Engelsk
Sider: 535
ISBN-13: 9781032593036
Indbinding: Hardback
Udgave:
ISBN-10: 1032593032
Udg. Dato: 23 maj 2024
Længde: 41mm
Bredde: 183mm
Højde: 261mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 23 maj 2024
Forfatter(e): Roger Berger, George Casella
Forfatter(e) Roger Berger, George Casella


Kategori Sandsynlighedsregning og statistik


Sprog Engelsk


Indbinding Hardback


Sider 535


Udgave


Længde 41mm


Bredde 183mm


Højde 261mm


Udg. Dato 23 maj 2024


Oplagsdato 23 maj 2024

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