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Gian-Carlo Rota on Analysis and Probability
Gian-Carlo Rota was born in Vigevano, Italy, in 1932. He died in Cambridge, Mas sachusetts, in 1999. He had several careers, most notably;
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Gian-Carlo Rota on Analysis and Probability
Gian-Carlo Rota was born in Vigevano, Italy, in 1932. He died in Cambridge, Mas sachusetts, in 1999. He had several careers, most notably;
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Indiscrete Thoughts
. Cherished myths are debunked along the way as Gian-Carlo Rota takes pleasure in portraying, warts and all, some of the great scientific;
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Introduction to Geometric Probability
The purpose of this book is to present the three basic ideas of geometrical probability, also known as integral geometry, in their natural;
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Introduction to Geometric Probability
The purpose of this book is to present the three basic ideas of geometrical probability, also known as integral geometry, in their natural;
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Introduction to Probability with R
Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with;
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Introduction to Probability with R
Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with;
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The Star and the Whole
The Star and the Whole: Gian-Carlo Rota on Mathematics and Phenomenology, authored by Fabrizio Palombi, is the first book to study Rota's;
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The Star and the Whole
The Star and the Whole: Gian-Carlo Rota on Mathematics and Phenomenology, authored by Fabrizio Palombi, is the first book to study Rota's;
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Inequality and Climate Change
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Combinatorics
Gian-Carlo Rota was one of the most original and colourful mathematicians of the 20th century. His work on the foundations of combinatorics;
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Combinatorics
Gian-Carlo Rota was one of the most original and colourful mathematicians of the 20th century. His work on the foundations of combinatorics;
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The Monte Carlo Simulation Method for System Reliability and Risk Analysis
assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates;
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Cesarean Delivery
illustrations to show all the details a surgeon needs to know, and from expert international contributors to share their knowledge on the many;
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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods
chain Monte Carlo methods commonly used....This book will be useful, especially to researchers with a strong background in probability and an;
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A First Course in Bayesian Statistical Methods
Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.;
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A First Course in Bayesian Statistical Methods
Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.;
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Handbook of Monte Carlo Methods
sensitivity analysis * Advanced topics including cross-entropy, rare events, kernel density estimation, quasi Monte Carlo, particle systems, and;
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Probability
distribution, and limits * An early introduction to random variables and Monte Carlo simulation and an emphasis on conditional probability;
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Comparative electricity efficiency analysis in Italy
stochastic frontiers) and linear programming (Data Envelopment Analysis) techniques. Cross-sectional data are examined for ENEL, the former;
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Probability and Statistics
simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data;
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Probability and Statistics
simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data;
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Probability Methods for Cost Uncertainty Analysis
between the cost of system elements, how to present the analysis to decision-makers, and the use of bivariate probability distributions to capture;
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Probability Methods for Cost Uncertainty Analysis
between the cost of system elements, how to present the analysis to decision-makers, and the use of bivariate probability distributions to capture;
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Simulation and the Monte Carlo Method
score function method for sensitivity analysis, the stochastic approximation method and the stochastic counter-part method for Monte Carlo;
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Student Solutions Manual To Accompany Simulation And The Monte Carlo Method
for sensitivity analysis The stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization The cross;
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