Linear Models and Generalizations Linear Models and Generalizations
Springer Series in Statistics

Linear Models and Generalizations

Least Squares and Alternatives

C. Radhakrishna Rao والمزيد
    • ‏109٫99 US$
    • ‏109٫99 US$

وصف الناشر

Third Edition explores the theory and applications of linear models. It presents a unified theory of inference from linear models and its generalizations with minimal assumptions, using least squares theory and alternative methods of estimation and testing.

النوع
علم وطبيعة
تاريخ النشر
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١٥ أكتوبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Berlin Heidelberg
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Advanced Linear Modeling Advanced Linear Modeling
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Advances on Theoretical and Methodological Aspects of Probability and Statistics Advances on Theoretical and Methodological Aspects of Probability and Statistics
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Generalized Linear Models Generalized Linear Models
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Asymptotic Analysis of Mixed Effects Models Asymptotic Analysis of Mixed Effects Models
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Linear Models and Regression with R Linear Models and Regression with R
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Statistical Inference Based on the likelihood Statistical Inference Based on the likelihood
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The Elements of Statistical Learning The Elements of Statistical Learning
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Regression Modeling Strategies Regression Modeling Strategies
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Forecasting with Exponential Smoothing Forecasting with Exponential Smoothing
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An Introduction to Sequential Monte Carlo An Introduction to Sequential Monte Carlo
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Simulation and Inference for Stochastic Differential Equations Simulation and Inference for Stochastic Differential Equations
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Permutation, Parametric, and Bootstrap Tests of Hypotheses Permutation, Parametric, and Bootstrap Tests of Hypotheses
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