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Optimal Statistical Inference in Financial Engineering

Until now, few systematic studies of optimal statistical inference for stochastic processes had existed in the financial engineering;

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Stochastic Models, Statistics and Their Applications

This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed;

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Statistical Reliability Engineering

Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system;

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Statistical Reliability Engineering

systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author's recent research and;

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Statistical Models In Engineering

Directed at engineers, this is a detailed treatment of the use of statistical models to represent physical phenomena. The main intent;

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Statistical Methods for Financial Engineering

While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the;

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Statistical Methods for Financial Engineering

While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the;

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Visualizing Statistical Models And Concepts

Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures;

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Visualizing Statistical Models And Concepts

Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures;

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Mathematical and Statistical Applications in Food Engineering

fermentation. It provides the fundamentals on statistical methods to solve standard problems associated with food engineering and fermentation;

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Engineering Statistics

Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the;

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Statistical Models and Methods for Lifetime Data

to the statistical literature. Highly recommended ... -Choice This is an important book, which will appeal to statisticians working on;

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Student Solutions Manual Engineering Statistics, 5e

Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the;

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Statistical Inference For Models With Multivariate T-Distrib

This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for;

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Cleanroom Software Engineering

still unpredictable and expensive. Cleanroom Software engineering is the first practical development and certification to use statistical;

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Applied Linear Statistical Models

There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics;

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Handbook of Probabilistic Models

inference, Bayesian update, kriging, copula-statistical models, and more. Explains the application of advanced probabilistic models;

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Optimal Resource Allocation

A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION Optimal Resource Allocation: With Practical Statistical;

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Copula Based Markov Models for Time Series

This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated;

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Handbook of Statistical Systems Biology

in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that;

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Statistical Models in S

Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance;

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Advances on Models, Characterizations and Applications

Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including;

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Advances on Models, Characterizations and Applications

Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including;

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Reliability and Statistical Computing

between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18;

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Reliability and Statistical Computing

between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18;

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Flowgraph Models For Multistate Time-To-Event Data

A unique introduction to the innovative methodology of statistical flowgraphs This book offers a practical, application--based approach to;

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Developing Structured Procedural and Methodological Engineering Designs

adequate statistical process control (SPC), which takes account of the capability to ensure a stable process and then regulate if variations take;

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