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Geometric Modeling in Probability and Statistics

This book covers topics of Informational Geometry, a field which deals with the differential geometric study of the manifold probability;

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Stochastic Geometry, Spatial Statistics and Random Fields: Asymptotic Methods

is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes;

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Inequalities and Extremal Problems in Probability and Statistics

Inequalities and Extremal Problems in Probability and Statistics: Selected Topics presents various kinds of useful inequalities that are;

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Finite Mathematics Mod & Aplicati Set

; Simplex Methods; Application Models; Set and Probability Relationships; Random Variables and Probability Distributions; Markov Chains;

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Probability and Statistics with Reliability, Queuing, and Computer Science Applications

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;

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Solutions Manual to accompany Finite Mathematics

chapters on probability and statistics, principles and applications of matrices are included as well as topics for enrichment such as the Monte;

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Geometric Science of Information

; information structure in neuroscience; geometric robotics and tracking; geometric mechanics and robotics; stochastic geometric mechanics and Lie group;

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Probability and Statistics with Reliability, Queuing and Computer Science Applications

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;

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Probability

, geometric probability, simulation, exponential families of distributions, Jensen's inequality, and many non-standard probability distributions.;

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Geometric Process And Its Applications, The

. This book captures the extensive research work on geometric processes that has been done since then in both probability and statistics theory;

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From Geometric Modeling to Shape Modeling

paradigms for CAD including the evolution of geometric-centric CAD systems, modeling of non-rigid materials, shape modeling, geometric modeling and;

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Factorization Calculus and Geometric Probability

This unique book develops the classical subjects of geometric probability and integral geometry, and the more modern one of stochastic;

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Factorization Calculus and Geometric Probability

This unique book develops the classical subjects of geometric probability and integral geometry, and the more modern one of stochastic;

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Statistics and Probability Theory: In Pursuit of Engineering Decision Support

This book provides the reader with the basic skills and tools of statistics and probability in the context of engineering modeling and;

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Integral Geometry And Convexity - Proceedings Of The International Conference

Integral geometry, known as geometric probability in the past, originated from Buffon's needle experiment. Remarkable advances have been;

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Engineering Statistics

Concise and complete coverage of probability. Thorough coverage of regression modeling, design of engineering experiments, and statistical;

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Probability, Statistics, And Decision Making In The Atmospheric Sciences

Methodology drawn from the fields of probability. statistics and decision making plays an increasingly important role in the;

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Limit Theorems in Probability, Statistics and Number Theory

Limit theorems and asymptotic results form a central topic in probability theory and mathematical statistics. New and non-classical limit;

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Fundamentals of Applied Probability and Random Processes

The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the;

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Stochastic Modeling and Optimization

, probability, and statistics.;

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Probability and Stochastic Modeling

Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also;

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Probability and Stochastic Modeling

Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also;

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Uncertainty

This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic;

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Uncertainty

This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic;

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Advances in Degradation Modeling

reference for researchers and practitioners in applied probability and statistics, industrial statistics, the health sciences, quality control;

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Handbook of Mathematics

Mathematics, Probability Theory and Statistics, as well as Information Processing. Besides many enhancements and new paragraphs, new sections on;

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Statistics and Data Analysis for Financial Engineering

management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus;

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