|WikiProject Statistics||(Rated Start-class, High-importance)|
Could this be explained for the layman?
The Introduction to this article should be generally readable by people who have little training in statistics. The Introduction was previously in need of improvement.
Then someone (Kri) made a change so that the Introduction began with this sentence: "A statistical model is a formalization of stochastic relationships between variables in the form of mathematical equations". The sentence is incomprehensible to most people, because they do not know what stochastic means. The justification for the change was that the term is "explained later in the paragraph". It is didactically awful to use a technical term and define the term later; a term should first be defined, at least intuitively, and then used.
I have reverted the change. I have also made an edit to hopefully improve clarity, as well as to correct an error (it is not necessary, or even usual, that the true model is in P). Further work is need though.
220.127.116.11 (talk) 17:02, 6 November 2014 (UTC)
- Thank you explaining why you reverted my edit this time; reverting someone's edits without explanation is usually not a good idea as it easily can be seen as destructive to the one who made the first edit, since he obviously thought that he did something
- As for my justification for the edit, I didn't mean that the term stochastic was explained later in the paragraph; what I meant was that the fact that the relationships are stochastic was stated later in the paragraph (although I used the word "explained" instead of "stated"). So I thought, why not make that statement about the relationships already the first time they are mentioned? But if you thought it was incomprehensible to most people, then maybe it was. —Kri (talk) 21:59, 6 November 2014 (UTC)
Proposed merge with Statistical assumption
The article Statistical assumption makes very little sense. It claims that there are "non-modelling assumptions". Yet the set of statistical assumptions is the statistical model.
The reference given in the article [McPherson, 1990 (Section 3.3)] states the following.
The vast majority of statistical models require the assumption that the sample which provides the data has been selected by a process of random selection…. The importance of this assumption is made apparent in Chapter 5.
Where the sample members are not independently selected, there is a need to assume a structure or mechanism by which observations made on the sample members are connected. Generally, the statistical description is difficult even though the experimental description may be simple. For example, where plants are competing for light, moisture or nutrients, a strong growing plant is likely to be surrounded by weaker plants because of competition. Attempting to model the effects of this competition is not an easy task and frequently leads to the introduction of parameters of unknown value into the model.
Note the repeated use of the term "model".