Mathematical Statistics | By H.C. Saxena & J. N. Kapur | Revised Edition | S. Chand Publication ( English Medium )

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Mathematical Statistics | By H.C. Saxena & J. N. Kapur | Revised Edition | S. Chand Publication ( English Medium ).

Mathematical Statistics" by J.N. Kapur and H.C. Saxena is a comprehensive textbook designed for students pursuing advanced studies in statistics and mathematics. Published by S. Chand & Company, this revised edition offers an in-depth exploration of statistical theories and methodologies, making it a valuable resource for both undergraduate and postgraduate students.

Key Features:

Comprehensive Coverage: The book delves into a wide range of topics, including probability theory, discrete and continuous probability distributions, sampling distributions, estimation theory, hypothesis testing, correlation and regression analysis, and stochastic processes.

Structured Content: The material is organized into well-defined chapters, each focusing on specific statistical concepts, facilitating a logical progression of ideas and aiding in better comprehension.

Illustrative Examples: Numerous solved examples are provided throughout the text to elucidate complex statistical concepts and demonstrate practical applications.

Practice Problems: Each chapter concludes with a variety of exercises, allowing students to test their understanding and apply the concepts learned.

Appendices and Tables: The book includes appendices with mathematical tables and additional resources to support the statistical analyses discussed in the text.

Search Key - Probability theory textbook, Discrete probability distributions, Continuous probability distributions, Sampling distributions guide, Estimation theory in statistics, Hypothesis testing methods, Correlation analysis techniques, Regression analysis methods, Stochastic processes introduction, Statistical inference principles, Moment generating functions, Chi-square distribution applications, Student's t-distribution uses, F-distribution in statistics, Analysis of variance (ANOVA), Non-parametric statistical methods, Maximum likelihood estimation, Bayesian estimation techniques, Central limit theorem explanation, Law of large numbers, Markov chains basics, Poisson process applications, Random variables in statistics, Expectation and variance concepts, Covariance and correlation, Linear regression models, Multiple regression analysis, Time series analysis, Statistical quality control, Decision theory in statisticsPublisher ‏ : ‎ S Chand & Company (1 December 2010), Language ‏ : ‎ English, Paperback ‏ : ‎ 792 pages, ISBN-10 ‏ : ‎ 9788121912464, ISBN-13 ‏ : ‎ 978-8121912464.

Product Details

SKU / BOOK Code:	S-Cha-Math-Stat-(E)
Publisher:	S. Chand Publication
Author:	H.C. Saxena
Binding Type:	Paperback
No. of Pages:	792
ISBN-10:	9788121912464
ISBN-13:	978-8121912464
Edition:	J. N. Kapur
Language:	English Medium
Publish Year:	2025-02
Weight (g):	2600
Product Condition:	New
Reading Age:	Above 10 Years
Country of Origin:	India
Genre:
Manufacturer:	S. Chand Publication
Importer:	Not Applicable
Packer:	Fullfilled by Supplier

Product Description

Mathematical Statistics | By H.C. Saxena & J. N. Kapur | Revised Edition | S. Chand Publication ( English Medium ).

Mathematical Statistics" by J.N. Kapur and H.C. Saxena is a comprehensive textbook designed for students pursuing advanced studies in statistics and mathematics. Published by S. Chand & Company, this revised edition offers an in-depth exploration of statistical theories and methodologies, making it a valuable resource for both undergraduate and postgraduate students.

Key Features:

Comprehensive Coverage: The book delves into a wide range of topics, including probability theory, discrete and continuous probability distributions, sampling distributions, estimation theory, hypothesis testing, correlation and regression analysis, and stochastic processes.

Structured Content: The material is organized into well-defined chapters, each focusing on specific statistical concepts, facilitating a logical progression of ideas and aiding in better comprehension.

Illustrative Examples: Numerous solved examples are provided throughout the text to elucidate complex statistical concepts and demonstrate practical applications.

Practice Problems: Each chapter concludes with a variety of exercises, allowing students to test their understanding and apply the concepts learned.

Appendices and Tables: The book includes appendices with mathematical tables and additional resources to support the statistical analyses discussed in the text.

Search Key - Probability theory textbook, Discrete probability distributions, Continuous probability distributions, Sampling distributions guide, Estimation theory in statistics, Hypothesis testing methods, Correlation analysis techniques, Regression analysis methods, Stochastic processes introduction, Statistical inference principles, Moment generating functions, Chi-square distribution applications, Student's t-distribution uses, F-distribution in statistics, Analysis of variance (ANOVA), Non-parametric statistical methods, Maximum likelihood estimation, Bayesian estimation techniques, Central limit theorem explanation, Law of large numbers, Markov chains basics, Poisson process applications, Random variables in statistics, Expectation and variance concepts, Covariance and correlation, Linear regression models, Multiple regression analysis, Time series analysis, Statistical quality control, Decision theory in statisticsPublisher ‏ : ‎ S Chand & Company (1 December 2010), Language ‏ : ‎ English, Paperback ‏ : ‎ 792 pages, ISBN-10 ‏ : ‎ 9788121912464, ISBN-13 ‏ : ‎ 978-8121912464.

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