Trends and Perspectives in Linear Statistical Inference Trends and Perspectives in Linear Statistical Inference
Contributions to Statistics

Trends and Perspectives in Linear Statistical Inference

LinStat, Istanbul, August 2016

    • ‏84٫99 US$
    • ‏84٫99 US$

وصف الناشر

This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat 2016) held in Istanbul, Turkey, 22-25 August 2016, cover topics in both theoretical and applied statistics, such as linear models, high-dimensional statistics, computational statistics, the design of experiments, and multivariate analysis. The book is intended for statisticians, Ph.D. students, and professionals who are interested in statistical inference. 

النوع
علم وطبيعة
تاريخ النشر
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١ فبراير
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Analytical Methods in Statistics Analytical Methods in Statistics
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Advances in Statistical Models for Data Analysis Advances in Statistical Models for Data Analysis
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Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
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Classification and Multivariate Analysis for Complex Data Structures Classification and Multivariate Analysis for Complex Data Structures
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COMPSTAT 2006 - Proceedings in Computational Statistics COMPSTAT 2006 - Proceedings in Computational Statistics
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Statistical Learning and Modeling in Data Analysis Statistical Learning and Modeling in Data Analysis
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Time Series Analysis and Forecasting Time Series Analysis and Forecasting
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Developments in Statistical Modelling Developments in Statistical Modelling
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Theory and Applications of Time Series Analysis Theory and Applications of Time Series Analysis
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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications
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Theory and Applications of Time Series Analysis and Forecasting Theory and Applications of Time Series Analysis and Forecasting
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Methodology and Applications of Statistics Methodology and Applications of Statistics
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