Advances in Data Analysis
This book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. ...
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Advances in Distribution Theory, Order Statistics, and Inference
Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian ...
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Advances in Mathematical and Statistical Modeling
Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal ...
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Analysis of Integrated and Cointegrated Time Series with R
The analysis of integrated and co-integrated time series can be considered as the main methodology employed in applied econometrics. ...
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Basic Probability Theory with Applications
This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. ...
اقرأ المزيدBayesian Methods in the Search for MH370
This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability ...
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
This book discusses the statistical methods most often applied for such adjustments, ranging from ad hoc procedures to regression-based ...
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Big Data in Energy Economics / Hui Liu
Combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces ...
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COMPSTAT 2006 - Proceedings in Computational Statistics
International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section ...
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COMPSTAT 2006 - Proceedings in Computational Statistics
International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section ...
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COMPSTAT 2008 : Proceedings in Computational Statistics
Presents methodological developments in Applied/Computational Statistics. This work covers a range of topics including Advances ...
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Computational Intelligence in Time Series Forecasting
Deals with the power of intelligent technologies individually and in combination. This book includes examples of the particular ...
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Correlated Data Analysis: Modeling, Analytics, and Applications
Presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components ...
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Data Analysis, Classification and the Forward Search
This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...
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Data Analysis, Classification and the Forward Search
This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...
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Data Mining: Foundations and Practice
This book contains valuable studies in data mining from both foundational and practical perspectives. The foundational studies ...
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Data Science and Classification
This volume provides new methodological developments in data analysis and classification. A wide range of topics is covered ...
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Data Science and Classification
This volume provides new methodological developments in data analysis and classification. A wide range of topics is covered ...
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Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets / Maria Cristina Mariani, Osei Kofi Tweneboah, Maria Pia Beccar-Varela
Delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various ...
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Econometrics
This textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes ...
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