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A new unifying biparametric nomenclature that spans all of chemistry
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ISBN: 9780444516855 0444516859 9780080473581 008047358X 1280966076 9781280966071 9786610966073 6610966079 Year: 2004 Publisher: Amsterdam Boston Elsevier

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As a byproduct of historical development, there are different, unrelated systems of nomenclature for ""inorganic chemistry"", ""organic chemistry"", ""polymer chemistry"", ""natural products chemistry"", etc. With each new discovery in the laboratory, as well as each new theoretical proposal for a chemical, the lines that traditionally have separated these ""distinct"" subsets of matter continually grow more blurred. This lack of uniformity in characterizing and naming chemicals increases the communication difficulties between differently trained chemists, as well as other scientists, and gr

Optimal design: an introduction to the theory for parameter estimation
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ISBN: 0412229102 9400959141 9400959125 9780412229107 Year: 1980 Publisher: London Chapman and Hall

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Parameter estimation and hypothesis testing in linear models
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ISBN: 3540188401 0387188401 Year: 1988 Publisher: Berlin Springer

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Parameter estimation and inverse problems
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ISBN: 9780128134238 0128134232 0128046511 9780128046517 Year: 2019 Publisher: Amsterdam, Netherlands

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Bayesian bounds for parameter estimation and nonlinear filtering / tracking
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ISBN: 0470120959 0470544198 9780470544198 9780470120958 Year: 2007 Publisher: Piscataway, New Jersey [Piscataqay, New Jersey] IEEE Press IEEE Xplore

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Bayesian Bounds provides a collection of the important papers dealing with the theory and application of Bayesian bounds. The book is essential to both engineers and statisticians whether they are practitioners or theorists. Each part of the book is introduced with the contributions of each selected paper and their interrelationship.


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Discrete techniques of parameter estimation : the equation error formulation
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ISBN: 0824714555 9780824714550 Year: 1973 Publisher: New York : Marcel Dekker,

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Statistical paradigms
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ISBN: 981434396X 9789814343961 9789814644112 9814644110 9789814343954 9814343951 Year: 2015 Publisher: New Jersey

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This volume consists of a collection of research articles on classical and emerging Statistical Paradigms - parametric, non-parametric and semi-parametric, frequentist and Bayesian - encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. For advances in theory, the topics include: Bayesian Inference, Directional Data Analysis, Distribution Theory, Econometrics and Multiple Testing Procedures. The areas in emerging applications include: Bioinformatics, Factorial Experiments and Linear Models, Hotspot Geoinformatics and Reliability.


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Parameter Estimation in Stochastic Volatility Models
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ISBN: 9783031038617 9783031038600 9783031038624 9783031038631 Year: 2022 Publisher: Cham Springer International Publishing :Imprint: Springer

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This book develops alternative methods to estimate the unknown parameters in stochastic volatility models, offering a new approach to test model accuracy. While there is ample research to document stochastic differential equation models driven by Brownian motion based on discrete observations of the underlying diffusion process, these traditional methods often fail to estimate the unknown parameters in the unobserved volatility processes. This text studies the second order rate of weak convergence to normality to obtain refined inference results like confidence interval, as well as nontraditional continuous time stochastic volatility models driven by fractional Levy processes. By incorporating jumps and long memory into the volatility process, these new methods will help better predict option pricing and stock market crash risk. Some simulation algorithms for numerical experiments are provided.


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Introduction to bioinformatics
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ISBN: 9780198794141 0198794142 Year: 2019 Publisher: Oxford, United Kingdom : Oxford University Press,

Nonlinear statistical modeling
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ISBN: 052166246X 9780521169264 9781139175203 9780521662468 0521169267 1139175203 Year: 2001 Publisher: Cambridge Cambridge University Press

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This collection brings together important contributions by leading econometricians on (i) parametric approaches to qualitative and sample selection models, (ii) nonparametric and semi-parametric approaches to qualitative and sample selection models, and (iii) nonlinear estimation of cross-sectional and time series models. The advances achieved here can have important bearing on the choice of methods and analytical techniques in applied research.

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