Introduction to mathematical statistics

By:

Hogg, Robert V

Contributor(s):

Material type: Text

TextPublication details: Boston Pearson Education 2019Edition: 8th edDescription: xiii, 746pISBN:

9780134686998 (hb.)

Subject(s):

DDC classification:

519.5 HOG

Summary: Introduction to Mathematical Statistics gives you comprehensive coverage with a proven approach, promoting understanding with numerous illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and its flexible organization makes it ideal for a range of mathematical statistics courses. In the 8th Edition, substantial revisions help you appreciate the connection between statistical theory and statistical practice, while other changes enhance the development and discussion of the statistical theory presented. Use of statistical software R is expanded throughout. Many additional real data sets illustrate statistical methods or compare methods, and are also available in the free R package hmcpkg. Several important topics have been added including Tukey's multiple comparison procedure in Chapter 9, confidence intervals for the correlation coefficients found in Chapters 9 and 10, and much more.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Mathematics	519.5 HOG (Browse shelf(Opens below))	Available		004607

https://www.pearson.com/en-us/subject-catalog/p/introduction-to-mathematical-statistics/P200000006211/9780134686998

Introduction to Mathematical Statistics gives you comprehensive coverage with a proven approach, promoting understanding with numerous illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and its flexible organization makes it ideal for a range of mathematical statistics courses. In the 8th Edition, substantial revisions help you appreciate the connection between statistical theory and statistical practice, while other changes enhance the development and discussion of the statistical theory presented. Use of statistical software R is expanded throughout. Many additional real data sets illustrate statistical methods or compare methods, and are also available in the free R package hmcpkg. Several important topics have been added including Tukey's multiple comparison procedure in Chapter 9, confidence intervals for the correlation coefficients found in Chapters 9 and 10, and much more.

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