This book can be used in courses on mathematical modeling at the senior undergraduate or graduate level, or used as a reference for in-service scientists and engineers. The book aims to provide an overview of mathematical modeling through a panoramic view of applications of mathematics in science and technology. In each chapter, mathematical models are chosen from the physical, biological, social, economic, management, and engineering sciences. The models deal with differentconcepts, but have a common mathematical structure and bring out the unifying influence of mathematical modeling in different disciplines. FEATURES: Provides a balance between theory and applications Features models from the physical, biological, social, economic, management, and engineering sciences

This title features: Introduction Frequency distribution and measures of location, measures of dispersions, skewness & kurtosis moments of frequency distributions; Theory of probability; Discrete probability distributions; Special discrete probability distributions; Univariate continuous probability distributions; Special continuous probability distributions; Principle of least squares, fittings of curves & orthangonal polynomeals; Correlation and regression; Multiple and partial correlation; Theory of sampling; Exact sampling distributions; Tests of significance based on the T,F and Z distributions; Tests of significance based on the chi- square distribution; Statistical theory of point estimation; Testing of hypotheses, sequential analysis distribution; Free methods, statistical decision theory; Elements of stochastic processes orderstatistics; Appendices; Index; and, log tables.