Titlebook: Estimation and Inferential Statistics; Pradip Kumar Sahu,Santi Ranjan Pal,Ajit Kumar Das Textbook 2015 Springer India 2015 Methods of Esti

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B. J. Tomlinson,B. Flake,T. RobertsInpoint estimation when a random sample . is drawn from a population having distribution function . and . is the unknown parameter (or the set of unknown parameter).

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André Chardin,Damien Féger,Dick VerbeekIn parametric tests we generally assume a particular form of the population distribution (say, normal distribution) from which a random sample is drawn and we try to construct a test criterion (for testing hypothesis regarding parameter of the population) and the distribution of the test criterion depends upon the parent population.

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Methods of Estimation,In chapter one, we have discussed different optimum properties of good point estimators viz. unbiasedness, minimum variance, consistency and efficiency which are the desirable properties of a good estimator.

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Theory of Testing of Hypothesis,Consider a random sample from an infinite or a finite population. From such a sample or samples, we try to draw inference regarding population.

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Non-parametric Test,In parametric tests we generally assume a particular form of the population distribution (say, normal distribution) from which a random sample is drawn and we try to construct a test criterion (for testing hypothesis regarding parameter of the population) and the distribution of the test criterion depends upon the parent population.

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