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Exponential Distribution

The exponential distribution is often used to model the failure time of manufactured items in production. If X denotes the time to failure;

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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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Characterizations of Exponential Distribution by Ordered Random Variables

Exponential distribution is one of the most-used distributions in the theory and practice of statistics. It has several important;

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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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Handbook of Exponential and Related Distributions for Engineers and Scientists

introductory texts for alternative distributions, the Handbook of Exponential and Related Distributions for Engineers and Scientists provides a concise;

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New Developments in Applied Statistics

exponential distribution; inference and prediction for a generalised logistics distribution; minimum perpendicular distance squared method estimation;

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Generalized Hyperbolic Secant Distributions

distribution as well as the Laplace or the double exponential distribution, which was first introduced in 1774. Occasionally, the Cauchy distribution;

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Multivariate Families with Mixture Dependence

independent exponential distributions, by a mixture of their common scale parameter. The distribution of mixture parameter belongs to the general;

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Modelling Income Distribution

effects of macroeconomic variables, particularly unemployment and inflation, on the personal distribution. The use of the generalised exponential;

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Character Sums with Exponential Functions and Their Applications

The theme of this book is the study of the distribution of integer powers modulo a prime number. It provides numerous new, sometimes quite;

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Statistical Theory and Inference

is to make these topics much more accessible to students by using the theory of exponential families. Exponential families, indicator;

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Continuous Multivariate Distributions

coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV;

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The Riemann Zeta-Function

examines exponential integrals and exponential sums, the Voronoi summation formula, the approximate functional equation, the fourth power moment;

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The Power of 2 - Exponential Sales Leadership

The Power of 2 - Exponential Sales Leadership The Power of 2 - Exponential Sales Leadership;

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Applied Statistical Science III

Scale Matrix in the Multivariate F Distribution Under Stein's Loss Function; Sequential Estimation of the Man of An Exponential Distribution Via;

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Statistical Estimation for Truncated Exponential Families

focuses on a truncated exponential family of distributions with a natural parameter and truncation parameter as a typical nonregular family. This;

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Evolution Equations

dynamical systems in Markovian and non-Markovian settings using evolution equations; Einstein's evolution equation for fluid with exponential free;

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Exponential Transformation

A practical handbook for using Exponential Organization to transform your organization-and disrupt your industry-in 10 weeks Today's;

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Multivariate Statistics

The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications;

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Number Theory Fourier Analysis & Geometr

The study of geometric discrepancy, which provides a framework for quantifying the quality of a distribution of a finite set of points, has;

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London Mathematical Society Student Texts

The study of geometric discrepancy, which provides a framework for quantifying the quality of a distribution of a finite set of points, has;

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Continuous Exponential Martingales and BMO

In three chapters on Exponential Martingales, BMO-martingales, and Exponential of BMO, this book explains in detail the beautiful;

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The Exponential Era

Praise for The Exponential Era The Exponential Era turns strategic planning from a stagnant limited application exercise to an active;

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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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London Mathematical Society Lecture Note Series

This book is a self-contained account of the one- and two-dimensional van der Corput method and its use in estimating exponential sums;

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Generalized Linear Models and Extensions

is predicated on the exponential family of distributions-a class so rich that it includes the commonly used logit, probit, and Poisson models. Although;

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