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A first course in mathematical statistics / C. E. Weatherburn.

By: Material type: TextTextLanguage: English Publication details: India : Phoenix , 2022.Edition: 1 st edDescription: xii , 268 p. : ill . ; 24 cmISBN:
  • 9789392359286
Subject(s): DDC classification:
  • 519.5 WEA
Contents:
1.Frequency Distributions and Descriptive Measures. 2.Bivariate Distributions, Bivariate Normal, Correlation, and Regression. 3.Theory of simple Sampling.
Summary: Originally published by Cambridge University Press, A First Course in Mathematical Statistics by C.E. Weatherburn is a classic foundational textbook designed to provide students with an accessible yet mathematically sound introduction to statistical theory. Requiring only a baseline knowledge of integral calculus, the book systematically builds core topics in probability, theoretical probability distributions, sampling techniques, and statistical inference. It remains widely adopted in undergraduate mathematics and statistics curricula across universities for its clarity, logical exposition, and foundational worked examples.
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Holdings
Item type Current library Collection Shelving location Call number Status Barcode
Reference Reference Kalaignar Centenary Library Madurai ENGLISH-REFERENCE BOOKS மூன்றாம் தளம் / Third floor 519.5 WEA (Browse shelf(Opens below)) Not for loan 284797
English Books Kalaignar Centenary Library Madurai ENGLISH - LENDING BOOKS மூன்றாம் தளம் / Third floor 519.5 WEA (Browse shelf(Opens below)) Available 284798
English Books Kalaignar Centenary Library Madurai ENGLISH - LENDING BOOKS மூன்றாம் தளம் / Third floor 519.5 WEA (Browse shelf(Opens below)) Available 284799

Includes and index.

1.Frequency Distributions and Descriptive Measures.
2.Bivariate Distributions, Bivariate Normal, Correlation, and Regression.
3.Theory of simple Sampling.

Originally published by Cambridge University Press, A First Course in Mathematical Statistics by C.E. Weatherburn is a classic foundational textbook designed to provide students with an accessible yet mathematically sound introduction to statistical theory. Requiring only a baseline knowledge of integral calculus, the book systematically builds core topics in probability, theoretical probability distributions, sampling techniques, and statistical inference. It remains widely adopted in undergraduate mathematics and statistics curricula across universities for its clarity, logical exposition, and foundational worked examples.

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