The advantage of the geometric approach to linear model and its applications is known to many authors. In spite of that, it still remains to be rather unpopular in teaching statistics around the world and is almost missing in the Czech Republic. In this work, we use geometry of multidimensional vector spaces to derive some well-known properties of the linear model and to explain some of the most familiar statistical methods to show usefulness of this approach, also known as "free-coordinate". Besides, historical background including selected results of R. A. Fisher is briefly discussed; it follows that the geometry approach to linear model is justifiable from the historical point of view, too. Powered by TCPDF (www.tcpdf.org
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Many multivariate statistical methods may be regarded as techniques for investigating a sample space...
The three dimensional space of our experience contains many forms of object features. The forms of t...
This paper is a first draft of the principle of statistical modelling on coordinates. Several causes...
The advantage of the geometric approach to linear model and its applications is known to many author...
The perspective afforded by Euclidean geometry led to the rapid development of linear models in the ...
This is a companion volume to Plane Answers to Complex Questions: The Theory 0/ Linear Models. It co...
In this article, we examine F, Wald, LR, and LM test statistics in the linear regression model using...
The object of this report is an investigation of statistical independence and linear coordinate syst...
Publisher: SAGE Publications LtdAre we cautious enough when using linear models? After the 1970s lin...
This paper uses the coordinate-free approach to linear algebra to simplify and unify the explanation...
"The purpose of this primer is to impart a real understanding of the most commonly used statistical ...
Linear models are a type of mathematical model commonly used by statisticians in order to capture th...
International audienceLinear algebra is a difficult topic for undergraduate students. In France, the...
According to many university teachers, “geometrical intuition ” can help students in their learning ...
The structure of semiparametric statistical models is elucidated by information geometry. The paper ...
Many multivariate statistical methods may be regarded as techniques for investigating a sample space...
The three dimensional space of our experience contains many forms of object features. The forms of t...
This paper is a first draft of the principle of statistical modelling on coordinates. Several causes...