Probability and Statistical Inference

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9780824703790: Probability and Statistical Inference

Priced very competitively compared with other textbooks at this level!
This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts.

Beginning with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference

  • studies the Helmert transformation for normal distributions and the waiting time between failures for exponential distributions
  • develops notions of convergence in probability and distribution
  • spotlights the central limit theorem (CLT) for the sample variance
  • introduces sampling distributions and the Cornish-Fisher expansions
  • concentrates on the fundamentals of sufficiency, information, completeness, and ancillarity
  • explains Basu's Theorem as well as location, scale, and location-scale families of distributions
  • covers moment estimators, maximum likelihood estimators (MLE), Rao-Blackwellization, and the Cramér-Rao inequality
  • discusses uniformly minimum variance unbiased estimators (UMVUE) and Lehmann-Scheffé Theorems
  • focuses on the Neyman-Pearson theory of most powerful (MP) and uniformly most powerful (UMP) tests of hypotheses, as well as confidence intervals
  • includes the likelihood ratio (LR) tests for the mean, variance, and correlation coefficient
  • summarizes Bayesian methods
  • describes the monotone likelihood ratio (MLR) property
  • handles variance stabilizing transformations
  • provides a historical context for statistics and statistical discoveries
  • showcases great statisticians through biographical notes

    Employing over 1400 equations to reinforce its subject matter, Probability and Statistical Inference is a groundbreaking text for first-year graduate and upper-level undergraduate courses in probability and statistical inference who have completed a calculus prerequisite, as well as a supplemental text for classes in Advanced Statistical Inference or Decision Theory.
  • Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

    Contenuti:

    Notions of Probability
    Expectations of Functions of Random Variables
    Multivariate Random Variables
    Transformations and Sampling Distributions
    Notions of Stochastic Convergence
    Sufficiency, Completeness, and Ancillarity
    Point Estimation
    Tests of Hypotheses
    Confidence Interval Estimation
    Bayesian Methods
    Likelihood Ratio and Other Tests
    Large-Sample Inference
    Sample Size Determination: Two-Stage Procedures

    Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

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    1.

    Nitis Mukhopadhyay
    Editore: Taylor Francis Inc, United States (2000)
    ISBN 10: 0824703790 ISBN 13: 9780824703790
    Nuovi Rilegato Quantità: 1
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    The Book Depository
    (London, Regno Unito)
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    Descrizione libro Taylor Francis Inc, United States, 2000. Hardback. Condizione libro: New. 231 x 157 mm. Language: English . Brand New Book. Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. Beginning with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference * studies the Helmert transformation for normal distributions and the waiting time between failures for exponential distributions * develops notions of convergence in probability and distribution * spotlights the central limit theorem (CLT) for the sample variance * introduces sampling distributions and the Cornish-Fisher expansions * concentrates on the fundamentals of sufficiency, information, completeness, and ancillarity * explains Basu s Theorem as well as location, scale, and location-scale families of distributions * covers moment estimators, maximum likelihood estimators (MLE), Rao-Blackwellization, and the Cramer-Rao inequality * discusses uniformly minimum variance unbiased estimators (UMVUE) and Lehmann-Scheffe Theorems * focuses on the Neyman-Pearson theory of most powerful (MP) and uniformly most powerful (UMP) tests of hypotheses, as well as confidence intervals * includes the likelihood ratio (LR) tests for the mean, variance, and correlation coefficient * summarizes Bayesian methods * describes the monotone likelihood ratio (MLR) property * handles variance stabilizing transformations * provides a historical context for statistics and statistical discoveries * showcases great statisticians through biographical notes Employing over 1400 equations to reinforce its subject matter, Probability and Statistical Inference is a groundbreaking text for first-year graduate and upper-level undergraduate courses in probability and statistical inference who have completed a calculus prerequisite, as well as a supplemental text for classes in Advanced Statistical Inference or Decision Theory. Codice libro della libreria AAZ9780824703790

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    2.

    Nitis Mukhopadhyay
    Editore: CRC Press 2000-03-22 (2000)
    ISBN 10: 0824703790 ISBN 13: 9780824703790
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    Descrizione libro CRC Press 2000-03-22, 2000. Condizione libro: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Codice libro della libreria NU-GRD-04989926

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    Nitis Mukhopadhyay
    Editore: CRC Press (2000)
    ISBN 10: 0824703790 ISBN 13: 9780824703790
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    Descrizione libro CRC Press, 2000. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria GB-9780824703790

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    4.

    Nitis Mukhopadhyay
    Editore: Taylor Francis Inc, United States (2000)
    ISBN 10: 0824703790 ISBN 13: 9780824703790
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    (London, Regno Unito)
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    [?]

    Descrizione libro Taylor Francis Inc, United States, 2000. Hardback. Condizione libro: New. 231 x 157 mm. Language: English . Brand New Book. Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. Beginning with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference * studies the Helmert transformation for normal distributions and the waiting time between failures for exponential distributions * develops notions of convergence in probability and distribution * spotlights the central limit theorem (CLT) for the sample variance * introduces sampling distributions and the Cornish-Fisher expansions * concentrates on the fundamentals of sufficiency, information, completeness, and ancillarity * explains Basu s Theorem as well as location, scale, and location-scale families of distributions * covers moment estimators, maximum likelihood estimators (MLE), Rao-Blackwellization, and the Cramer-Rao inequality * discusses uniformly minimum variance unbiased estimators (UMVUE) and Lehmann-Scheffe Theorems * focuses on the Neyman-Pearson theory of most powerful (MP) and uniformly most powerful (UMP) tests of hypotheses, as well as confidence intervals * includes the likelihood ratio (LR) tests for the mean, variance, and correlation coefficient * summarizes Bayesian methods * describes the monotone likelihood ratio (MLR) property * handles variance stabilizing transformations * provides a historical context for statistics and statistical discoveries * showcases great statisticians through biographical notes Employing over 1400 equations to reinforce its subject matter, Probability and Statistical Inference is a groundbreaking text for first-year graduate and upper-level undergraduate courses in probability and statistical inference who have completed a calculus prerequisite, as well as a supplemental text for classes in Advanced Statistical Inference or Decision Theory. Codice libro della libreria AAZ9780824703790

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    Descrizione libro Condizione libro: New. Bookseller Inventory # ST0824703790. Codice libro della libreria ST0824703790

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    Nitis Mukhopadhyay
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    Descrizione libro Taylor & Francis Inc 2000-03-22, New York, 2000. hardback. Condizione libro: New. Codice libro della libreria 9780824703790

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    Descrizione libro Condizione libro: New. Depending on your location, this item may ship from the US or UK. Codice libro della libreria 97808247037900000000

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    Mukhopadhyay, Nitis
    Editore: Taylor & Francis Inc (2000)
    ISBN 10: 0824703790 ISBN 13: 9780824703790
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    Descrizione libro Taylor & Francis Inc, 2000. Condizione libro: New. Presents the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. This book covers various topics typically addressed in a two-semester course in probability and statistical inference. Series: Statistics: A Series of Textbooks and Monographs. Num Pages: 665 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 160 x 230 x 44. Weight in Grams: 1154. . 2000. 1st Edition. Hardcover. . . . . . Codice libro della libreria V9780824703790

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    Nitis Mukhopadhyay
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    Descrizione libro Hardback. Condizione libro: New. Not Signed; Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develo. book. Codice libro della libreria ria9780824703790_rkm

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