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Mathemetical statistics / by J.K Goyal and J.N. Sharma

By: Goyal, J.K.
Contributor(s): Sharma, J.N.
Material type: TextTextPublisher: Meerut : Krishna Prakashan Media (P) Ltd., 2012.Edition: 27th ed.Description: xvi, 600p.+16p. 24cm.ISBN: 8182831083; 9788182831087.Subject(s): MATHEMATICS | STATISTICSDDC classification: 519.5 GOM
Contents:
Meaning and purpose of statistics Frequency distributions and measures of central tendency Measures of dispersion and Skewness Probability Random variable distribution function Continuous frequency distributions Important theoretical distributions Moment generating functions and cumulants Method of least squares and curve fitting Bivariate distribution, regression and correlation Multiple and partial correlation Consistence of data and association of attributes Finite differences and interpolation Preliminary concepts on sampling Simple sampling of attributes- large samples The sampling of variables- large samples Distribution The sampling of variables-small samples Analysis of variance Design of experiments(randomization and Latin squares) Inference-1(Estimation) Inference-2(Testing of hypothesis) Interval estimation Index numbers Analysis of time series
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Books Books HCC Seminar Library General Stacks 519.5 GOM (Browse shelf(Opens below)) Available 6105-8

Includes tables, Appendix

Meaning and purpose of statistics Frequency distributions and measures of central tendency Measures of dispersion and Skewness Probability Random variable distribution function Continuous frequency distributions Important theoretical distributions Moment generating functions and cumulants Method of least squares and curve fitting Bivariate distribution, regression and correlation Multiple and partial correlation Consistence of data and association of attributes Finite differences and interpolation Preliminary concepts on sampling Simple sampling of attributes- large samples The sampling of variables- large samples Distribution The sampling of variables-small samples Analysis of variance Design of experiments(randomization and Latin squares) Inference-1(Estimation) Inference-2(Testing of hypothesis) Interval estimation Index numbers Analysis of time series

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