Random phenomena : fundamentals of probability and statistics for engineers /: fundamentals of probability and statistics for engineers. (2009)

• Record Type: Book
• Further Information: Note: Babatunde A. Ogunnaike.
• Other Names: Ogunnaike, Babatunde A (Babatunde Ayodeji)
• Contents: Prelude; Approach Philosophy; Four Basic Principles; I Foundations; Two Motivating Examples; Yield Improvement in a Chemical Process; Quality Assurance in a Glass Sheet Manufacturing Process; Outline of a Systematic Approach; Random Phenomena, Variability, and Uncertainty; Two Extreme Idealizations of Natural Phenomena; Random Mass Phenomena; Introducing Probability; The Probabilistic Framework; II Probability; Fundamentals of Probability Theory; Building Blocks; Operations; Probability; Conditional Probability; Independence; Random Variables and Distributions; Distributions; Mathematical Expectation; Characterizing Distributions; Special Derived Probability Functions; Multidimensional Random Variables; Distributions of Several Random Variables; Distributional Characteristics of Jointly Distributed Random Variables; Random Variable Transformations; Single Variable Transformations; Bivariate Transformations; General Multivariate Transformations; Application Case Studies I: Probability; Mendel and Heredity; World War II Warship Tactical Response Under Attack; III Distributions; Ideal Models of Discrete Random Variables; The Discrete Uniform Random Variable; The Bernoulli Random Variable; The Hypergeometric Random Variable; The Binomial Random Variable; Extensions and Special Cases of the Binomial Random Variable; The Poisson Random Variable; Ideal Models of Continuous Random Variables; Gamma Family Random Variables; Gaussian Family Random Variables; Ratio Family Random Variables; Information, Entropy, and Probability Models; Uncertainty and Information; Entropy; Maximum Entropy Principles for Probability Modeling; Some Maximum Entropy Models; Maximum Entropy Models from General Expectations; Application Case Studies II: In-Vitro Fertilization; In-Vitro Fertilization and Multiple Births; Probability Modeling and Analysis; Binomial Model Validation; Problem Solution: Model-Based IVF Optimization and Analysis; Sensitivity Analysis; IV Statistics; Introduction to Statistics; From Probability to Statistics; Variable and Data Types; Graphical Methods of Descriptive Statistics; Numerical Descriptions; Sampling; The Distribution of Functions of Random Variables; Sampling Distribution of the Mean; Sampling Distribution of the Variance; Estimation; Criteria for Selecting Estimators; Point Estimation Methods; Precision of Point Estimates; Interval Estimates; Bayesian Estimation; Hypothesis Testing; Basic Concepts; Concerning Single Mean of a Normal Population; Concerning Two Normal Population Means; Determining β, Power, and Sample Size; Concerning Variances of Normal Populations; Concerning Proportions; Concerning Non-Gaussian Populations; Likelihood Ratio Tests; Discussion; Regression Analysis; Simple Linear Regression; "Intrinsically" Linear Regression; Multiple Linear Regression; Polynomial Regression; Probability Model Validation; Probability Plots; Chi-Squared Goodness-of-Fit Test; Nonparametric Methods; Single Population; Two Populations; Probability Model Validation; A Comprehensive Illustrative Example; Design of Experiments; Analysis of Variance; Single Factor Experiments; Two-Factor Experiments; General Multi-factor Experiments; 2k Factorial Experiments and Design; Screening Designs: Fractional Factorial; Screening Designs: Plackett-Burman; 1Response Surface Methodology; Introduction to Optimal Designs; Application Case Studies III: Statistics; Prussian Army Death-by-Horse Kicks; WW II Aerial Bombardment of London; US Population Dynamics: 1790–2000; Process Optimization; V Applications; Reliability and Life Testing; System Reliability; System Lifetime and Failure-Time Distributions; The Exponential Reliability Model; The Weibull Reliability Model; Life Testing; Quality Assurance and Control; Acceptance Sampling; Process and Quality Control; Chemical Process Control; Process and Parameter Design; Introduction to Multivariate Analysis; Multivariate Probability Models; Multivariate Data Analysis; Principal Components Analysis; Appendix; Index
• Publisher Details: Place of publication not identified : CRC Press
• Publication Date: 2009
• Extent: 1 online resource, illustrations
• Subjects: 519.5; Engineering -- Statistical methods; Science -- Statistical methods; Probabilities; Stochastic analysis
• Languages: English
• ISBNs: 9781439894262; 1439894264
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.