Sökt på: Serie Springerbriefs in Statistics
totalt 101 träffar
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables
This short monograph provides a synthesis of new research on sampling designs that are dependent on sample moments or the order statistics of auxiliary variables. The range of …
Modern Methodology and Applications in Spatial-Temporal Modeling
? This book provides a modern introductory tutorial on specialized methodological and applied aspects of spatial and temporal modeling. The areas covered involve a range of topics …
Restricted Kalman Filtering
???????? ?In statistics, the Kalman filter is a mathematical method whose purpose is to use a series of measurements observed over time, containing random variations and other …
Regression Models for the Comparison of Measurement Methods
This book provides an updated account of the regression techniques employed in comparing analytical methods and to test the biases of one method relative to others – a problem …
L1-Norm and L8-Norm Estimation
This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals …
Machine Learning in Medicine - Cookbook
The amount of data in medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional methods of data analysis have difficulty to …
Handling Missing Data in Ranked Set Sampling
?The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. In human populations they may be caused by a …
Non-asymptotic Analysis of Approximations for Multivariate Statistics
This book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus on results with the correct error …
Statistics Based on Dirichlet Processes and Related Topics
This book focuses on the properties associated with the Dirichlet process, describing its use a priori for nonparametric inference and the Bayes estimate to obtain limits for the …
Empirical Likelihood and Quantile Methods for Time Series
This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.g., infinite variance processes, not only from the …
Analysing Inequalities in Germany
This book seeks new perspectives on the growing inequalities that our societies face, putting forward Structured Additive Distributional Regression as a means of statistical …
Statistics, New Empiricism and Society in the Era of Big Data
This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and …