Essentials of mathematical statistics / [Book] / Brian Albright, DSc, Concordia University, Nebraska.

By:

Albright, Brian, 1977-

Material type: Text

TextSeries: The Jones & Bartlett learning series in mathematicsDescription: xii, 594 pages : illustrations ; 24 cmISBN:

9781449685348 (casebound)
144968534X (casebound)

Subject(s):

Mathematical statistics -- Textbooks

DDC classification:

519.5 23

Other classification:

519.5

Summary: Written for the one-term introductory probability and statistics course for mid- to upper-level math and science majors, Essentials of Mathematical Statistics combines the topics generally found in main-stream elementary statistics books with the essentials of the underlying theory. The book begins with an axiomatic treatment of probability followed by chapters on discrete and continuous random variables and their associated distributions. It then introduces basic statistical concepts including summarizing data and interval parameter estimation, stressing the connection between probability and statistics. Final chapters introduce hypothesis testing, regression, and non-parametric techniques. All chapters provide a balance between conceptual understanding and theoretical understanding of the topics at hand.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Junaid Zaidi Library, COMSATS University Islamabad Ground Floor	519.5 ALB-E (Browse shelf(Opens below))	Available		50935

Total holds: 0

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Previous	519.5 ADV Advances in the theory and practice of statistics a volume in honor of Samuel Kotz /	519.5 AGA-B Basic statistics	519.5 AGR-S 63308 Statistics : the art and science of learning from data /	519.5 ALB-E Essentials of mathematical statistics /	519.5 AND-E Essentials of modern business statistics with Microsoft Excel	519.5 AND-E Essentials of modern business statistics with Microsoft Excel	519.5 AND-S Statistics for business and economics /	Next

Includes index.

Written for the one-term introductory probability and statistics course for mid- to upper-level math and science majors, Essentials of Mathematical Statistics combines the topics generally found in main-stream elementary statistics books with the essentials of the underlying theory. The book begins with an axiomatic treatment of probability followed by chapters on discrete and continuous random variables and their associated distributions. It then introduces basic statistical concepts including summarizing data and interval parameter estimation, stressing the connection between probability and statistics. Final chapters introduce hypothesis testing, regression, and non-parametric techniques. All chapters provide a balance between conceptual understanding and theoretical understanding of the topics at hand.

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