provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, ...
Lire la suitePresents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components ...
Lire la suiteThe preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...
Lire la suiteThe preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...
Lire la suiteThis introduction to visualization techniques and statistical models for second language research focuses on three types ...
Lire la suiteDealing with Uncertainties proposes and explains a new approach for the analysis of uncertainties. Firstly, it is shown that ...
Lire la suiteDiscusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware ...
Lire la suiteMechatronic design processes have become shorter and more parallelized, induced by growing time-to-market pressure. Methods ...
Lire la suiteThis book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
Lire la suiteThis book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
Lire la suiteThis is an advanced expository book on statistical methods for the Design and Analysis of Simulation Experiments (DASE). ...
Lire la suiteThis book studies and applies modern flexible regression models for survival data with a special focus on extensions of the ...
Lire la suiteThis book studies and applies modern flexible regression models for survival data with a special focus on extensions of the ...
Lire la suiteThe book provides graduate students and researchers with an up-to-date survey of statistical and econometric techniques for ...
Lire la suiteThis textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes ...
Lire la suiteStefan M. Wagner analyses problems associated with institutional changes (duration of patent examination and opposition mechanisms), ...
Lire la suiteThis book provides a full presentation of the current concepts and available techniques to make “machine learning” systems ...
Lire la suiteThis book presents methodologies for the Bayesian estimation of GARCH models and their application to financial risk management. ...
Lire la suiteThe prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, ...
Lire la suiteThe prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, ...
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