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Statistical analysis of the GSM (Global System for Mobile Communications) mobility prediction models

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Fundamentals of Earthquake Prediction

contains the rigorous statistical methods and analysis which allow readers to recognize promising approaches.;

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Foundations of Time Series Analysis and Prediction Theory

This book provides a mathematical foundation for prediction theory and time series analysis using the idea of regression (prediction) and;

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Statistical Prediction Analysis

of predictive distribution within the framework of statistical prediction analysis. An applied mathematical approach is adopted throughout and the book;

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Advanced Linear Models

prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression;

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Statistical Learning and Data Sciences

selected from 59 submissions. The papers are organized in topical sections on statistical learning and its applications, conformal prediction and;

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Inference and Prediction in Large Dimensions

This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and;

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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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The Statistical Evaluation of Medical Tests for Classification and Prediction

This book describes statistical techniques for the design and evaluation of research studies on medical diagnostic tests, screening tests;

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Clinical Versus Statistical Prediction

" ""Clinical versus Statistical Prediction"" is Paul Meehl's famous examination of benefits and disutilities related to the different;

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Clinical Versus Statistical Prediction

"Clinical versus Statistical Prediction" is Paul Meehl's famous examination of benefits and disutilities related to the different;

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Proceedings of the International Conference on Linear Statistical Inference Linstat '93

This volume contains a selection of invited and contributed papers presented at the International Conference on Linear Statistical;

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Reliability Analysis and Prediction with Warranty Data

Through simple, practical approaches, Reliability Analysis and Prediction with Warranty Data: Issues, Strategies, and Methods helps Six;

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Financial Surveillance

This is the first book-length treatment of statistical surveillance methods used in financial analysis. It contains carefully selected;

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Statistical Modeling and Machine Learning for Molecular Biology

Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The;

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Statistical Modeling and Machine Learning for Molecular Biology

Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The;

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Bayesian Analysis of Demand Under Block Rate Pricing

analysis. The resulting models are extensions of the Tobit model, a well-known statistical model in econometrics, and their hierarchical;

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Dynamic Prediction in Clinical Survival Analysis

There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like;

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Prediction, Learning, and Games

comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction;

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Optimal Statistical Inference in Financial Engineering

literature, even though this idea is fundamental to the field. Balancing statistical theory with data analysis, Optimal Statistical Inference;

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Reliability and Statistical Computing

maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep;

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Reliability and Statistical Computing

maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep;

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Econometrics

the results fo statistical analysis aeo An introduction to linear exponential family and generalized linear models aeo A thorough discussion;

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Statistical Methods for Groundwater Monitoring

and accessible treatment of the statistical methods that are useful in the analysis of environmental data. This new edition expands focus on;

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Predictive Statistics

All scientific disciplines prize predictive success. Conventional statistical analyses, however, treat prediction as secondary, instead;

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Individual Participant Data Meta-Analysis - A Handbook for Healthcare Research

diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis;

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Introduction to Statistics and Econometrics

relatively nontechnical manner. Unlike many statistics texts, it discusses regression analysis in depth. And unlike many econometrics texts, it;

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