Probability and Statistics for Engineers, As per AICTE
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Probability and Statistics for Engineers is written for undergraduate students of engineering and physical sciences. Besides the students of B.E. and B.Tech., those pursuing MCA and MCS can also find the book useful. The book would be equally helpful for six sigma practitioners in industries. Comprehensive yet concise, the text is well-organized in 15 chapters that can be covered in a one-semester course in probability and statistics. Designed to meet the requirements of engineering students, the text covers all important topics, emphasizing basic engineering and science applications. ·Probability Concepts ·Random Variables and Distribution Functions ·Expectation and Moment-Generating Function ·Standard Discrete Distribution Functions ·Some Standard Continuous Distribution Functions ·Chebyshev’s Inequality and Central Limit Theorem ·Two-Dimensional Random Variables ·Transformation of Random Variables ·Point Estimation and Minimum Risk Estimator ·Sampling Distributions and Interval Estimation ·Testing of Hypotheses ·Simple Correlation and Regression ·Analysis of Variance: One-Way and Two-Way Analyses ·Latin Square Design and Two-Factor Factorial Design ·Statistical Quality Control and Six Sigma Metrics
Dr. J. Ravichandran is an associate professor at the Department of Mathematics, Amrita Vishwa Vidhyapeetham, Coimbatore, India. Earlier, he served the Statistical Quality Control department at a manufacturing industry for more than 12 years. His areas of research include statistical quality control, statistical inference, six sigma, total quality management and statistical pattern recognition. A senior member of the American Society for Quality (ASQ) for over 20 years and a member of the Indian Society for Technical Education (ISTE)
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