Search Results

ENGLISH

Minimum Gamma-Divergence For Regression And Classification Problems

by Shinto Eguchi

~~60,82€~~ 54,74€ 10% OFF

free shipping

 In particular, the authors call the geometric-mean (GM) divergence the gamma-divergence when ? is equal to -1.The book begins by providing an overview of the gamma-divergence and its properties.
ENGLISH

Functional Data Analysis In Biomechanics - A Concise Review Of Core Techniques, Applications And Emerging Areas

by Andrew J. Harrison, Edward Gunning, John Warmenhoven e Norma Bargary

~~50,01€~~ 45,01€ 10% OFF

free shipping

 This book provides a concise discussion of fundamental functional data analysis (FDA) techniques for analysing biomechanical data, along with an up-to-date review of their applications. This book serves as both a contextual literature review of FDA applications in biomechanics and as an introduction to FDA techniques for applied researchers.
ENGLISH

Identifiability And Regression Analysis Of Biological Systems Models - Statistical And Mathematical Foundations And R Scripts

by Paola Lecca

~~50,01€~~ 45,01€ 10% OFF

free shipping

 This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex dynamical models, and looks at their objectives.
ENGLISH

Minimum Gamma-Divergence For Regression And Classification Problems

by Shinto Eguchi

~~59,61€~~ 53,65€ 10% OFF

 In particular, the authors call the geometric-mean (GM) divergence the gamma-divergence when ? is equal to -1.The book begins by providing an overview of the gamma-divergence and its properties.
ENGLISH

Siml Filtering Method For Noisy Non-Stationary Economic Time Series

by Naoto Kunitomo e Seisho Sato

~~66,24€~~ 59,62€ 10% OFF

 In this book, we explain the development of a new filtering method to estimate the hidden states of random variables for multiple non-stationary time series data. This method is particularly helpful in analyzing small-sample non-stationary macro-economic time series. The method is based on the frequency-domain application of the separating information maximum likelihood (SIML) method, which was proposed by Kunitomo, Sato, and Kurisu (Springer, 2018) for financial high-frequency time series. We solve the filtering problem of hidden random variables of trend-cycle, seasonal, and measurement-error components and propose a method to handle macro-economic time series. The asymptotic theory based on the frequency-domain analysis for non-stationary time series is developed with illustrative applications, including properties of the method of Muller and Watson (2018), and analyses of macro-economic data in Japan.Vast research has been carried out on the use of statistical time series analysis for macro-economic time series. One important feature of the series, which is different from standard statistical time series analysis, is that the observed time series is an apparent mixture of non-stationary and stationary components. We apply the SIML method for estimating the non-stationary errors-in-variables models. As well, we discuss the asymptotic and finite sample properties of the estimation of unknown parameters in the statistical models. Finally, we utilize their results to solve the filtering problem of hidden random variables and to show that they lead to new a way to handle macro-economic time series.
ENGLISH

Identifiability And Regression Analysis Of Biological Systems Models - Statistical And Mathematical Foundations And R Scripts

by Paola Lecca

~~66,24€~~ 59,62€ 10% OFF

 This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex dynamical models, and looks at their objectives.
ENGLISH

Functional Data Analysis In Biomechanics - A Concise Review Of Core Techniques, Applications And Emerging Areas

by Andrew J. Harrison, Edward Gunning, John Warmenhoven e Norma Bargary

~~66,24€~~ 59,62€ 10% OFF

 This book provides a concise discussion of fundamental functional data analysis (FDA) techniques for analysing biomechanical data, along with an up-to-date review of their applications. This book serves as both a contextual literature review of FDA applications in biomechanics and as an introduction to FDA techniques for applied researchers.
ENGLISH

Anova With Dependent Errors

by Anna Clara Monti, Hideaki Nagahata, Masanobu Taniguchi, Xiaofei Xu e Yuichi Goto

31,08€ + 10% CARD

free shipping

 This book presents the latest results related to one- and two-way models for time series data. In contrast, the methods developed in this book apply to time series data. This framework distinguishes the approach of the book from panel data and longitudinal analyses, which mostly deal with cases in which the number of groups is large.
ENGLISH

Statistical Inference Based On Kernel Distribution Function Estimators

by Rizky Reza Fauzi e Yoshihiko Maesono

50,01€ + 10% CARD

free shipping

 This book presents a study of statistical inferences based on the kernel-type estimators of distribution functions. If the appropriate kernel function is used, the kernel estimators of the distribution functions recover the root-n consistency, and the inferences based on kernel distribution estimators have root-n consistency.
ENGLISH

Stein Estimation

by Tatsuya Kubokawa, William E. Strawderman e Yuzo Maruyama

59,61€ + 10% CARD

 This book provides a self-contained introduction of Stein/shrinkage estimation for the mean vector of a multivariate normal distribution. The book begins with a brief discussion of basic notions and results from decision theory such as admissibility, minimaxity, and (generalized) Bayes estimation. It also presents Stein''s unbiased risk estimator and the James-Stein estimator in the first chapter. In the following chapters, the authors consider estimation of the mean vector of a multivariate normal distribution in the known and unknown scale case when the covariance matrix is a multiple of the identity matrix and the loss is scaled squared error. The focus is on admissibility, inadmissibility, and minimaxity of (generalized) Bayes estimators, where particular attention is paid to the class of (generalized) Bayes estimators with respect to an extended Strawderman-type prior. For almost all results of this book, the authors present a self-contained proof. The book is helpful for researchers and graduate students in various fields requiring data analysis skills as well as in mathematical statistics.
ENGLISH

Closure Properties For Heavy-Tailed And Related Distributions - An Overview

by Dimitrios Konstantinides, Jonas Siaulys e Remigijus Leipus

52,99€ + 10% CARD

 This book provides a compact and systematic overview of closure properties of heavy-tailed and related distributions, including closure under tail equivalence, convolution, finite mixing, maximum, minimum, convolution power and convolution roots, and product-convolution closure. It includes examples and counterexamples that give an insight into the theory and provides numerous references to technical details and proofs for a deeper study of the subject. The book will serve as a useful reference for graduate students, young researchers, and applied scientists.
ENGLISH

Anova With Dependent Errors

by Anna Clara Monti, Hideaki Nagahata, Masanobu Taniguchi, Xiaofei Xu e Yuichi Goto

59,61€ + 10% CARD

 This book presents the latest results related to one- and two-way models for time series data. In contrast, the methods developed in this book apply to time series data. This framework distinguishes the approach of the book from panel data and longitudinal analyses, which mostly deal with cases in which the number of groups is large.
ENGLISH

Statistical Inference Based On Kernel Distribution Function Estimators

by Rizky Reza Fauzi e Yoshihiko Maesono

66,24€ + 10% CARD

 This book presents a study of statistical inferences based on the kernel-type estimators of distribution functions. If the appropriate kernel function is used, the kernel estimators of the distribution functions recover the root-n consistency, and the inferences based on kernel distribution estimators have root-n consistency.
ENGLISH

Mixed-Effects Models And Small Area Estimation

by Shonosuke Sugasawa e Tatsuya Kubokawa

54,06€ + 10% CARD

free shipping

 This book provides a self-contained introduction of mixed-effects models and small area estimation techniques. Standard mixed-effects models used in small area estimation, known as the Fay-Herriot model and the nested error regression model, are then introduced.
ENGLISH

Coordination Principle Of Minerals Flotation

by Jianhua Chen

189,25€ + 10% CARD

free shipping

 The advent of flotation, with selective interaction of reagents with minerals at its core, has greatly advanced the development of modern mining. A unique perspective from coordination is presented to illustrate the principles of reagent molecules interacting with metal ions on mineral surface.
ENGLISH

Shrinkage Estimation For Mean And Covariance Matrices

by Hisayuki Tsukuma e Tatsuya Kubokawa

54,06€ + 10% CARD

free shipping

 This book provides a self-contained introduction to shrinkage estimation for matrix-variate normal distribution models.
ENGLISH

Pairwise Multiple Comparisons - Theory And Computation

by Hiroshi Sugiura, Shin-Ichi Matsuda e Taka-Aki Shiraishi

54,06€ + 10% CARD

free shipping

 This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on maximum absolute values of some two-sample t-test statistics and on F-test statistics in homoscedastic multi-sample models.
ENGLISH

Chronic Rhinosinusitis - The Mucosal Concept

148,70€ + 10% CARD

free shipping

 Chronic rhinosinusitis (CRS) is one of the most common health care complaints, with the prevalence of 5-12% worldwide. In the following chapters, details in clinical diagnosis of CRS are summarized, especially clinical characteristics in paediatric CRS.
ENGLISH

Chronic Rhinosinusitis - The Mucosal Concept

202,77€ + 10% CARD

free shipping

 Chronic rhinosinusitis (CRS) is one of the most common health care complaints, with the prevalence of 5-12% worldwide. In the following chapters, details in clinical diagnosis of CRS are summarized, especially clinical characteristics in paediatric CRS.
ENGLISH

Euclidean Design Theory

by Masanori Sawa, Masatake Hirao e Sanpei Kageyama

54,06€ + 10% CARD

free shipping

 This book is the modern first treatment of experimental designs, providing a comprehensive introduction to the interrelationship between the theory of optimal designs and the theory of cubature formulas in numerical analysis.
ENGLISH

Selected Payout Products Of The Old-Age Pension Saving Scheme

by Gabor Szucs, Igor Kollar, Jana Spirkova e Pavel Zimmermann

31,08€ + 10% CARD

free shipping

 This book discusses the payout phase of the old-age pension saving scheme, the so-called effective premium, and offers detailed actuarial models and analyses of five old-age pension saving products used in practice.
ENGLISH

Probabilistic Risk Analysis And Bayesian Decision Theory

by Marcel Van Oijen e Mark Brewer

50,01€ + 10% CARD

free shipping

 Intended for statisticians, environmental scientists and risk analysts interested in the theory and application of risk analysis, this book provides precise definitions, new theory, and many examples with full computer code.
ENGLISH

Stochastic Volatility And Realized Stochastic Volatility Models

by Makoto Takahashi, Toshiaki Watanabe e Yasuhiro Omori

66,24€ + 10% CARD

 This treatise delves into the latest advancements in stochastic volatility models, highlighting the utilization of Markov chain Monte Carlo simulations for estimating model parameters and forecasting the volatility and quantiles of financial asset returns. The modeling of financial time series volatility constitutes a crucial aspect of finance, as it plays a vital role in predicting return distributions and managing risks. Among the various econometric models available, the stochastic volatility model has been a popular choice, particularly in comparison to other models, such as GARCH models, as it has demonstrated superior performance in previous empirical studies in terms of fit, forecasting volatility, and evaluating tail risk measures such as Value-at-Risk and Expected Shortfall. The book also explores an extension of the basic stochastic volatility model, incorporating a skewed return error distribution and a realized volatility measurement equation. The concept of realized volatility, a newly established estimator of volatility using intraday returns data, is introduced, and a comprehensive description of the resulting realized stochastic volatility model is provided. The text contains a thorough explanation of several efficient sampling algorithms for latent log volatilities, as well as an illustration of parameter estimation and volatility prediction through empirical studies utilizing various asset return data, including the yen/US dollar exchange rate, the Dow Jones Industrial Average, and the Nikkei 225 stock index. This publication is highly recommended for readers with an interest in the latest developments in stochastic volatility models and realized stochastic volatility models, particularly in regards to financial risk management.
ENGLISH

Uncertainty In Engineering - Introduction To Methods And Applications

3,96€ + 10% CARD

 This open access book provides an introduction to uncertainty quantication in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for complex systems. The nal two chapters discuss various aspects of aerospace engineering, considering stochastic model updating from an imprecise Bayesian perspective, and uncertainty quantication for aerospace ight modelling. Written by experts in the subject, and based on lectures given at the Second Training School of the European Research and Training Network UTOPIAE (Uncertainty Treatment and Optimization in Aerospace Engineering), which took place at Durham University (United Kingdom) from 2 to 6 July 2018, the book offers an essential resource for students as well as scientists and practitioners.
Loading results...

View more results