A History of Parametric Statistical Inference from Bernoulli to Fischer, 1713-1935
This is a history of parametric statistical inference, written by one of the most important historians of statistics of the ...
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Algorithms in Bioinformatics: Theory and Implementation / Paul A. Gagniuc
Explores a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of ...
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Analysis of Microdata
The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software ...
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Asymptotic Theory of Statistics and Probability
This book is an encyclopedic treatment of classic as well as contemporary large sample theory, dealing with both statistical ...
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Biostatistica in Radiologia : Progettare, realizzare e scrivere un lavoro scientifico radiologico = Biostatistics in Radiology: Designing, creating and writing a radiological scientific work
The progressive affirmation of evidence-based medicine requires radiology to make a qualitative leap: from demonstrating ...
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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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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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Discrete Multivariate Analysis Theory and Practice
Thes book is a most welcome contribution to an interesting and lively subject." -- NatureOriginally published in 1974, this ...
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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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Forecasting with Exponential Smoothing : The State Space Approach
Exponential smoothing methods have been around since the 1950s, and are the most popular forecasting methods used in business ...
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Geostatistics Banff 2004
The five major sections are: theory, mining, petroleum, environmental and other applications. The first section showcases ...
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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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Linear Models and Generalizations: Least Squares and Alternatives
Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...
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Linear and Generalized Linear Mixed Models and Their Applications
This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
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Models for Discrete Longitudinal Data
This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject ...
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Multivariate and Mixture Distribution Rasch Models
This volume covers extensions of the Rasch model, one of the most researched and applied models in educational research and ...
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Probability, Statistics and Modelling in Public Health
This book includes models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data ...
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Probability, Statistics and Modelling in Public Health
This book includes models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data ...
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Proportional Hazards Regression
The place in survival analysis now occupied by proportional hazards models and their generalizations is so large that it ...
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