TY  - GEN
AU  - MITTAL, P. K
AU  - SATYAPRASAD, B.G.
AU  - PRADEEP KUMAR
TI  - MATHEMATICS AND STATISTICS FOR MANAGEMENT: (BUSINESS MATHEMATICS AND ANALYTICS)
U1  - 519.5 
PY  - 2009///
CY  - MUMBAI
PB  - HIMALAYA PUBLISHING HOUSE
KW  - BUSINESS MATHEMATICS
KW  - BUSINESS ANALYSIS
N1  - Part-A: Mathematics for Management and Economics
A-1 Logarithms and Exponentials
A-2 Quadratic Equations (Numerical)
A-3 Functions
A-4 Progressions (A.P. and G.P.) And Depreciation Calculations
A-5 Compound Interest and Annuity
A-6 Annuity
A-7 Permutations, Combinations and Binomial Expansions
A-8 Functions and Limits
A-9 Continuity
A-10 Derivatives/Differentiation
A-11 Applications of Derivatives
A-12 Integral Calculus
A-13 Vectors and Matrices
A-14 Numerical Mathematical Analysis
Part-B: Statistics for Management and Economics
B-1 Preliminaries of Descriptive Statistics
B-2 Regression and Correlation
B-3 Multi-variate Analysis
B-4 Index Numbers
B-5 Analysis of Time Series
B-6 Probability
B-7 Random Variables and Probability Distributions
B-8 Theoretical Distributions
B-9 Sampling Distributions and Sampling
B-10 Sampling Theory
B-11 Tests of Significance and Estimation in Sampling Theory
B-12 Analysis of Variances
B-13 Non-Parametric Methods
Part-C: Operations Research (O.R) For Management and Economics.
C-1 Operations Research
C-2 Models in Operations Research
C-3 Linear Programming
C-4 Simplex Method of Linear Programming
C-5 More About Simplex Method in Linear Programming
Part-D: Research Methodology for Management and Economics
D-1 Research Methodology
D-2 Research of Social Sciences
D-3 Research Project
D-4 Collection of Data in Research Projects
References
Tables

N2  - This book entitled `Mathematics and Statistics for Management` is intended to fulfill the needs of students who want to obtain a reasonable grasp of basic mathematical and statistical techniques or methods in a limited time. The emphasis throughout the book is on understanding through practice, interpretation of results and their application to the real-like problems. This book will certainly encourage students who lack confidence in their mathematical ability to understand statistical techniques.

Each chapter of the book includes the necessary theory and methods of carrying out the various techniques and analysis. A large number of illustrative solved examples and self-practicing exercises are provided to motivate student to apply mathematical and statistical techniques to real data and draw necessary inferences.

Great care has been taken in the treatment of the subject matter and the subject is presented in systematic and interesting matter. The emphasis has been given to explain the concepts, specially the topics of abstract nature, in such a way that even an average student will be able to understand it independently.



ER  -