A Modern Introduction to Probability and Statistics
A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to the students. ...
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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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Advances in Statistical Methods for the Health Sciences
This volume, an outgrowth of an "International Conference on Statistical Methods in Health Sciences," covers a wide range ...
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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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Dependence in Probability and Statistics
This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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Dependence in Probability and Statistics
This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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Estimation in Conditionally Heteroscedastic Time Series Models
ARCH (autoregressive conditionally heteroscedastic), is well-suited for the description of economic and financial price. ...
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Extreme Value Theory
Extreme Value Theory offers a careful, coherent exposition of the subject starting from the probabilistic and mathematical ...
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Extreme Value Theory
Extreme Value Theory offers a careful, coherent exposition of the subject starting from the probabilistic and mathematical ...
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Functional and Operatorial Statistics
An increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress ...
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Fuzzy Probability and Statistics
This book combines material from our previous books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, ...
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Independent Component Analysis and Signal Separation
Independent Component Analysis and Signal Separation has applications at the intersection of many science and engineering ...
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Inference for Change Point and Post Change Means After a CUSUM Test
This monograph is the first to systematically study the bias of estimators and construction of corrected confidence intervals ...
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Inference in Hidden Markov Models
This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. ...
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Information Criteria and Statistical Modeling
One of the main objectives of this book is to provide comprehensive explanations of the concepts and derivations of the AIC ...
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Introduction to Empirical Processes and Semiparametric Inference
This book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. ...
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Introduction to Variance Estimation
The book provides instruction on the methods that are vital to data-driven decision making in business, government, and academe. ...
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Missing Data and Small-Area Estimation
The general tone of the book is not "from theory to practice," but "from current practice to better practice." The third ...
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Multivariate Statistics: Exercises and Solutions
The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents ...
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