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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

This book investigates statistical observables for anomalous and nonergodic dynamics, focusing on the dynamical behaviors of particles;

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Modeling Anomalous Diffusion: From Statistics to Mathematics

are clarified, and based on these models, some statistical observables are analyzed. From statistics to mathematics, the built models show;

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Weather Radar Polarimetry

in geophysical media filled with hydrometers and other objects. The text characterizes the physical, statistical, and electromagnetic properties;

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Higgs Properties at the LHC

is excluded by the precision measurements of electroweak observables and perturbative unitarity considerations. It obtains LHC constraints on;

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Statistical Tests Of Nonparametric Hypotheses

the asymptotic behavior of tests for distribution functions, densities and curves of the nonparametric models defining the distributions;

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Anomalous Transport

experimentalists in nonlinear dynamics, statistical physics and stochastic processes. It also forms an ideal starting point for graduate students moving;

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Affine diffusions in practice: modelling and simulation

This book gives an overview of affine diffusions, from Ornstein-Uhlenbeck processes to Wishart processes and it considers some related;

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Functionals of Multidimensional Diffusions with Applications to Finance

for many areas of application beyond finance. The book is aimed at a wide readership, and develops an intuitive and rigorous understanding;

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Statistical Thermodynamics And Stochastic Theory Of Nonequilibrium Systems

This book presents both the fundamentals and the major research topics in statistical physics of systems out of equilibrium. It summarizes;

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Copula Based Markov Models for Time Series

, Poisson distribution, and others. Presenting likelihood-based methods as the main statistical tools for fitting the models, the book details the;

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The Inverse Gaussian Distribution: Theory

This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical;

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The Inverse Gaussian Distribution: Theory

This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical;

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The Birnbaum-Saunders Distribution

The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders;

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Elements of Distribution Theory

This detailed introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics as;

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Statistics of the Galaxy Distribution

applications of spatial statistics in cosmology. It gives a detailed derivation of the statistical methods used to study the galaxy distribution and;

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Statistics of the Galaxy Distribution

applications of spatial statistics in cosmology. It gives a detailed derivation of the statistical methods used to study the galaxy distribution and;

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Probability And Stochastic Processes

provide direct proofs of the main convergence results for sequences of random variables.The book studies a large range of distribution functions;

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Probability And Stochastic Processes

provide direct proofs of the main convergence results for sequences of random variables.The book studies a large range of distribution functions;

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Exponential Distribution

The exponential distribution is one of the most significant and widely used distribution in statistical practice. It possesses several;

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Student's t-Distribution and Related Stochastic Processes

Student's distributions, represented as variance and mean-variance mixtures of multivariate Gaussian distributions with the reciprocal gamma mixing;

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Business Statistics MCQs

interview questions and answers for data and statistical analyst to ask, to prepare and to study for jobs interviews and career MCQs with answer;

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Distribution-Free Statistical Methods, Second Edition

in estimation techniques has particularly grown, and this section of the book has been expanded accordingly. Finally, Distribution-Free Statistical;

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Distribution-free Statistical Methods

Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population;

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The Exponential Distribution

The exponential distribution is one of the most significant and widely used distribution in statistical practice. It possesses several;

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Statistical Properties of the Generalized Inverse Gaussian Distribution

of the hyperbolic distributions as mixtures of normal distributions. The statistical properties of the generalized inverse Gaussian distribution;

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