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Give me name of some best books for preparation of ISI M.STAT Entrance Examination ? Here I am giving you name of some best books for preparation of ISI M.STAT Entrance Examination .. Books : (a) `Financial Market analysis' by D. Blake; `Principles of Corporate Finance' by Brealey and Myers. (b) `Microeconomics of Banking' by Freixas and Rochet. (c) `Indian Financial System' by H.R. Machiraju. ISI M.STAT Entrance Exam Syllabus Syllabus of ISI M.STAT Entrance Exam Analytical Reasoning Algebra | Arithmetic, geometric and harmonic progression. Continued fractions. Elementary combinatorics: Permutations and combinations, Binomial theorem. Theory of equations. Inequalities. Complex numbers and De Moivre's theorem. Elementary set theory. Functions and relations. Elementary number theory: Divisibility, Congruences, Primality. Algebra of matrices. Determinant, rank and inverse of a matrix. Solutions of linear equations. Eigenvalues and eigenvectors of matrices. Simple properties of a group. Coordinate geometry | Straight lines, circles, parabolas, ellipses and hyperbolas. Calculus | Sequences and series: Power series, Taylor and Maclaurin series. Limits and continuity of functions of one variable. Di erentiation and integration of functions of one variable with applications. De nite integrals. Maxima and minima. Functions of several variables - limits, continuity, di erentiability. Double integrals and their applications. Ordinary linear di erential equations. Elementary discrete probability theory | Combinatorial probability, Conditional probability, Bayes theorem. Binomial and Poisson distributions. Test Code PSB (Short answer type)Syllabus for Mathematics Combinatorics; Elements of set theory. Permutations and combinations. Binomial and multinomial theorem. Theory of equations. Inequalities. Linear Algebra: Vectors and vector spaces. Matrices. Determinants. Solution of linear equations. Trigonometry. Co-ordinate geometry. Complex Numbers: Geometry of complex numbers and De Moivres theorem. Calculus: Convergence of sequences and series. Functions. Limits and continuity of functions of one or more variables. Power series. Differentiation. Leibnitz formula. Applications of differential calculus, maxima and minima. Taylor’s theorem. Differentiation of functions of several variables. Indefinite integral. Fundamental theorem of calculus. Riemann integration and properties. Improper integrals. Double and multiple integrals and applications. Syllabus for Statistics and Probability Probability and Sampling Distributions: Notions of sample space and probability. Combinatorial probability. Conditional probability and independence. Random variables and expectations. Moments and moment generating functions. Standard univariate discrete and continuous distributions. Joint probability distributions. Multinomial distribution. Bivariate normal and multivariate normal distributions. Sampling distributions of statistics. Weak law of large numbers. Central limit theorem. Descriptive Statistics: Descriptive statistical measures. Contingency tables and measures of association. Product moment and other types of correlation. Partial and multiple correlation. Simple and multiple linear regression. Statistical Inference: Elementary theory of estimation (unbiasedness, minimum variance, sufficiency). Methods of estimation (maximum likelihood method, method of moments). Tests of hypotheses (basic concepts and simple applications of Neyman-Pearson Lemma). Confidence intervals. Inference related to regression. ANOVA. Elements of nonparametric inference. Design of Experiments and Sample Surveys: Basic designs such as CRD, RBD, LSD and their analyses. Elements of factorial designs. Conventional sampling techniques (SRSWR/SRSWOR) including stratification. Ratio and regression methods of estimation. Last edited by Aakashd; June 25th, 2019 at 02:45 PM. |