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The Risk Behaviour of a Pre-test Estimator in a Linear Regression Model with ... Function

The Risk Behaviour of a Pre-test Estimator in a Linear Regression Model with ... Function PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 17

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The Risk Behaviour of a Pre-test Estimator in a Linear Regression Model with ... Function

The Risk Behaviour of a Pre-test Estimator in a Linear Regression Model with ... Function PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 17

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Book Description

The Risk Behavior of a Pre-test Estimator in a Linear Regression Model with Possible Heteroscedasticity Under the Linex Loss Function

The Risk Behavior of a Pre-test Estimator in a Linear Regression Model with Possible Heteroscedasticity Under the Linex Loss Function PDF Author: Kazuhiro Ohtani
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 32

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The Exact Risk Performance of a Pre-test Estimator in a Heteroscedastic Linear Regression Model Under the Balanced Loss Function

The Exact Risk Performance of a Pre-test Estimator in a Heteroscedastic Linear Regression Model Under the Balanced Loss Function PDF Author: Kazuhiro Ohtani
Publisher:
ISBN:
Category : Regression analysis
Languages : en
Pages : 17

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The Exact Risks of Some Pre-test and Stein-type Regression Estimators Under Balanced Loss

The Exact Risks of Some Pre-test and Stein-type Regression Estimators Under Balanced Loss PDF Author: Judith Anne Giles
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 40

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Book Description

Journal of Quantitative Economics

Journal of Quantitative Economics PDF Author:
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 422

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The risk function of the preliminary test estimator in a simultaneous regression equations model

The risk function of the preliminary test estimator in a simultaneous regression equations model PDF Author: Dong Woo Cho
Publisher:
ISBN:
Category :
Languages : en
Pages : 69

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Book Description

Pre-testing for Linear Restrictions in a Regression Model with Student-t Errors

Pre-testing for Linear Restrictions in a Regression Model with Student-t Errors PDF Author: Judith Anne Giles
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 38

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The Exact Distribution of a Simple Pre-test Estimator

The Exact Distribution of a Simple Pre-test Estimator PDF Author: David E. A. Giles
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 36

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The Risk Properties of a Pre-test Estimator for Zellner's Seemingly Unrelated Regression Model

The Risk Properties of a Pre-test Estimator for Zellner's Seemingly Unrelated Regression Model PDF Author: Ahmet Özçam
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ISBN:
Category : Least squares
Languages : en
Pages : 40

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Book Description

Modern Statistics with R

Modern Statistics with R PDF Author: MANS. THULIN
Publisher:
ISBN: 9781032497457
Category : Mathematics
Languages : en
Pages : 0

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Book Description
The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. It teaches you: Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. Exploratory data analysis - using visualisations and multivariate techniques to explore datasets. Statistical inference - modern methods for testing hypotheses and computing confidence intervals. Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting. Simulation - using simulation techniques for sample size computations and evaluations of statistical methods. Ethics in statistics - ethical issues and good statistical practice. R programming - writing code that is fast, readable, and (hopefully!) free from bugs. No prior programming experience is necessary. Clear explanations and examples are provided to accommodate readers at all levels of familiarity with statistical principles and coding practices. A basic understanding of probability theory can enhance comprehension of certain concepts discussed within this book. In addition to plenty of examples, the book includes more than 200 exercises, with fully worked solutions available at www.modernstatisticswithr.com.