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 ...
Lee mas
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 ...
Lee mas
Analysis of Microdata
The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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. ...
Lee mas
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. ...
Lee mas
Discrete Multivariate Analysis Theory and Practice
Thes book is a most welcome contribution to an interesting and lively subject." -- NatureOriginally published in 1974, this ...
Lee mas
Estimation in Conditionally Heteroscedastic Time Series Models
ARCH (autoregressive conditionally heteroscedastic), is well-suited for the description of economic and financial price. ...
Lee mas
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 ...
Lee mas
Geostatistics Banff 2004
The five major sections are: theory, mining, petroleum, environmental and other applications. The first section showcases ...
Lee mas
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 ...
Lee mas
Linear Models and Generalizations: Least Squares and Alternatives
Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...
Lee mas
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 ...
Lee mas
Models for Discrete Longitudinal Data
This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
Proportional Hazards Regression
The place in survival analysis now occupied by proportional hazards models and their generalizations is so large that it ...
Lee mas
