Probability theory / contributors William A. Phillips et al.

Includes index.

Self-organized complexity and coherent informax from the viewpoint of Jaynes's probability theory -- Predicting the probability of failure of cementitious sewer pipes using stochastic finite element method -- The Q-exponential probability discounting of gain and loss -- An Essay on the double nature of the probability -- Strong law of large numbers under an upper probability -- Probability theory predicts that chunking into groups of three or four items increases the short-term memory capacity -- Inverse problems in cancellous bone: estimation of the ultrasonic properties of fast and slow waves using Bayesian probability theory -- Probability theory-based SNP association study method for identifying susceptibility loci and genetic disease models in human case-control data -- Cancellous Bone Fast and Slow Waves Obtained With Bayesian Probability Theory Correlate With Porosity From Computed Tomography -- Quality Control in Nucleic Acid Amplification Methods: Use of Elementary Probability Theory -- Causal Inference, Probability Theory, and Graphical Insights -- Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms -- Some Applications of Bayes' Rule in Probability Theory to Electrocatalytic Reaction Engineering -- Computation of the Multivariate Normal Integral Over a Complex Subspace -- Numerical Procedures For Calculating The Probabilities of Recurrent Runs -- Some One Parameter Models For Continuous Random Variables Defined On The Interval [0, 1] -- Born Rule and Noncontextual Probability -- A Probabilistic Method of Characterizing Transit Times For Quantum Particles In Non-Stationary States -- Fluctuation-Model-Based Discrete Probability Estimation For Small Samples -- Laplace Transform Analytical Restructure -- Wrapped Skew Laplace Distribution on Integers: A New Probability Model For Circular Data -- A Comparative Study of Adomain Decompostion Method and He-Laplace Method.

"As a mathematical foundation for statistics, probability theory is essential to many human activities that involve analysis of large sets of data. Methods of probability theory also apply to descriptions of complex systems given only partial knowledge of their state, as in statistical mechanics. This text is intended to provide the fundamentals of probability theory and its applications."

Fund 164 New Century Books & Gen. Mdse. Purchased 08/15/2018 76735 nej 5,400.00 2018-08-819 2018-1-0558