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STUDY MATERIALS FOR IIT JAM MATHEMATICAL STATISTICS 2018 WITH MODEL SOLVED PAPERS TOPIC WISE ANALYSIS 2017

STUDY MATERIALS FOR IIT JAM MATHEMATICAL STATISTICS 2018 WITH MODEL SOLVED PAPERS TOPIC WISE ANALYSIS 2017 Buy STUDY MATERIALS FOR IIT JAM MATHEMATICAL STATISTICS 2018 WITH MODEL SOLVED PAPERS TOPIC WISE ANALYSIS 2017 online at a discounted price from ShopClues.com. Shop Books, Academic & Competitve Books products @ Lowest Prices. Shop now! Enjoy Free Shipping & COD across India. EMI options available with Easy Return/Replacement Polices. SOURAV Product Id : 130296737
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  • Binding : Spiral
  • Language : English

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STUDY MATERIALS FOR IIT JAM MATHEMATICAL STATISTICS 2018 WITH MODEL SOLVED PAPERS TOPIC WISE ANALYSIS 2017

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Brand :   SOURAV

Books Specification

Binding :   Spiral
Language :   English

****WRITTEN ACCORDING TO NEW IIT JAM MATHEMATICAL STATISTICS ENTRANCE EXAM PATTERN ****ALL SECTIONS ARE THOROUGHLY EXPLAINED WITH ****SAMPLE SHORT AND LONG QUESTIONS ****WITH THEIR ANSWERS AND ****EXPLANATIONS AS WELL. ****10 MODEL PAPERS THOROUGHLY SOLVED .**** TOPICS COVERED ARE AS FOLLOWS STATISTICS STATISTICS PROBABILITY: AXIOMATIC DEFINITION OF PROBABILITY AND PROPERTIES, CONDITIONAL PROBABILITY, MULTIPLICATION RULE. THEOREM OF TOTAL PROBABILITY. BAYES’ THEOREM AND INDEPENDENCE OF EVENTS.**** RANDOM VARIABLES: PROBABILITY MASS FUNCTION, PROBABILITY DENSITY FUNCTION AND CUMULATIVE DISTRIBUTION FUNCTIONS, DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE.**** MATHEMATICAL EXPECTATION, MOMENTS AND MOMENT GENERATING FUNCTION****. CHEBYSHEV'S INEQUALITY.STANDARD DISTRIBUTIONS: BINOMIAL, NEGATIVE BINOMIAL, GEOMETRIC, POISSON, HYPERGEOMETRIC, UNIFORM, EXPONENTIAL, GAMMA, BETA AND NORMAL DISTRIBUTIONS. POISSON AND NORMAL APPROXIMATIONS OF A BINOMIAL DISTRIBUTION. JOINT DISTRIBUTIONS: JOINT, MARGINAL AND CONDITIONAL DISTRIBUTIONS. DISTRIBUTION OF FUNCTIONS OF RANDOM VARIABLES. PRODUCT MOMENTS, CORRELATION, SIMPLE LINEAR REGRESSION. INDEPENDENCE OF RANDOM VARIABLES. SAMPLING DISTRIBUTIONS: CHI-SQUARE, T AND F DISTRIBUTIONS, AND THEIR PROPERTIES. LIMIT THEOREMS: WEAK . ESTIMATION: UNBIASEDNESS, CONSISTENCY AND EFFICIENCY OF ESTIMATORS, METHOD OF MOMENTS AND METHOD OF MAXIMUM LIKELIHOOD. SUFFICIENCY, FACTORIZATION THEOREM. COMPLETENESS, RAO-BLACKWELL AND LEHMANN-SCHEFFE THEOREMS, UNIFORMLY MINIMUM VARIANCE UNBIASED ESTIMATORS. RAO-CRAMER INEQUALITY.CONFIDENCE INTERVALS FOR THE PARAMETERS OF UNIVARIATE NORMAL, TWO INDEPENDENT NORMAL, AND ONE PARAMETER EXPONENTIAL DISTRIBUTIONS. TESTING OF HYPOTHESES: BASIC CONCEPTS, APPLICATIONS OF NEYMAN-PEARSON LEMMA FOR TESTING SIMPLE AND COMPOSITE HYPOTHESES. LIKELIHOOD RATIO TESTS FOR PARAMETERS OF UNIVARIATE NORMAL DISTRIBUTION. MATHEMATICS SEQUENCES AND SERIES: DIFFERENTIAL CALCULUS: INTEGRAL CALCULUS: MATRICES: DIFFERENTIAL EQUATIONS:

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