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On the Estimation of Multiple Random Integrals and U-Statistics

show that the linearization causes a negligible error. The estimation of this error leads to some important large deviation type problems, and;

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Statistics 2 (International)

combinations of random variables, continuous random variables, sampling and estimation, and hypothesis tests.;

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Random Signal Processing

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral;

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Random Signal Processing

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral;

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Probability and Statistics

basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also;

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Probability, Random Variables, Statistics, and Random Processes

), highlights estimation and hypothesis testing. Part-IV, Random Processes (Chapters 11 - 12), delves into the characterization and processing of random;

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Probability and Statistics for Science and Engineering with Examples in R

distributions, multiple random variables, point estimation and testing, and inferences based on one and two samples. The book features a comprehensive;

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Probability, Statistics, and Random Processes for Engineers

For courses in Probability and Random Processes. Probability, Statistics, and Random Processes for Engineers, 4e is a useful;

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Recent Developments in Ordered Random Variables

The ordered random variables play important roles in the theory and practice of statistics. They possess significant statistical properties;

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Reproducing Kernel Hilbert Spaces in Probability and Statistics

The book covers theoretical questions including the latest extension of the formalism, and computational issues and focuses on some of the;

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Theory Of Preliminary Test And Stein-Type Estimation With Applications

Theory of Preliminary Test and Stein-Type Estimation with Applications provides a com-prehensive account of the theory and methods;

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New Developments in Applied Statistics

This book presents current research in the field of applied statistics. Topics discussed include the estimation of finite population mean;

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Applied Statistical Science III

Ordered Random Variables; Estimation of the Location Parameter of A Cauchy Distribution Using A Ranked Set Sample; On A Delayed Service Queuing;

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Nonlinear Mathematics for Uncertainty and its Applications

This volume is a collection of papers presented at the international conference on Nonlinear Mathematics for Uncertainty and Its;

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Multiple Wiener-Ito Integrals

, and it is shown that the theory of Wiener-Ito integrals provides a valuable tool in their study. More precisely, a version of these random;

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Applied Statistics and Probability for Engineers

. Readers are shown how to master discrete and continuous random variables and probability distributions; point and interval estimation; testing;

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Applied Statistics And Probability For Engineers

. Readers are shown how to master discrete and continuous random variables and probability distributions; point and interval estimation; testing;

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Gaussian and Non-Gaussian Linear Time Series and Random Fields

The principal focus here is on autoregressive moving average models and analogous random fields, with probabilistic and statistical;

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Probability Concepts in Engineering Planning and Design

of Parameters 5.2.1. Random Sampling and Point Estimation 5.2.2. Interval Estimation of the Mean 5.2.3. Problems of Measurement Theory 5.2.4. Interval;

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Real Analysis

emphasis is made on the properties of the Lebesgue integral and various applications both classical and those rarely covered in literature;

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Business Statistics MCQs

Business statistics multiple choice questions has 576 MCQs. Business statistics quiz questions and answers pdf, MCQs on probability;

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Mathematical Statistics and Stochastic Processes

asymptotic statistics and contains up-to-date information on the relevant topics of theory of probability, estimation, confidence intervals, non;

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Probability Theory and Statistical Applications

of random variables. The book is directed to students of mathematics, statistics, engineering, and other quantitative sciences, in particular to;

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High-Dimensional Covariance Matrix Estimation

This book presents covariance matrix estimation and related aspects of random matrix theory. It focuses on the sample covariance matrix;

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Random Fields for Spatial Data Modeling

. Other chapters focus on non-Gaussian random fields and stochastic simulation methods. The book also presents results based on the author's;

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Methods of Bosonic & Fermionic Path Integrals Representations

This monograph is written on topics in the subject of Continuum Quantum Geometric Path Integrals applied to Yang-Mills Theory and variants;

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Random Fields Estimation

This book contains a novel theory of random fields estimation of Wiener type, developed originally by the author and presented here. No;

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