...90 : ~/encyclopedia/old_files/data/I050/I.0500910 Infinitely\AAhdivisible distribution
[[Category:Distribution theory]]
11 KB (1,489 words) - 09:00, 13 January 2024
has a given probability distribution at a fixed value $ x $
The above method for constructing an empirical regression assuming a normal distribution of the results of the observations leads to estimators for $ \beta $
12 KB (1,774 words) - 13:04, 13 January 2024
...random errors. The basic problems of the theory of errors are to study the distribution laws of random errors, to seek estimates (see [[Statistical estimator|Stati
The equal accuracy of the measurements is treated broadly as an identical distribution: The true errors of equally accurate measurements are identically distribut
12 KB (1,805 words) - 08:11, 21 January 2024
...ariances of Poisson distributions (cf. also [[Poisson distribution|Poisson distribution]]). These results are unified by appealing to features of the following fam
...> <tbody> <tr> <td colname="1" style="background-color:white;" colspan="1">Distribution</td> <td colname="2" style="background-color:white;" colspan="1">index</td>
9 KB (1,146 words) - 06:29, 30 May 2020
be mutually independent random variables with a normal distribution, and let $ {\mathsf E} X _ {1i} = \mu _ {1} $,
have a standard normal distribution, while $ S _ {1} ^ {2} / \sigma _ {1} ^ {2} $
7 KB (881 words) - 10:27, 16 July 2021
distribution, provides the basic probabilistic representation of randomness.
covered in Knuth (1998). Formally, we can generate random variables with any distribution by means of the following.
19 KB (2,851 words) - 07:04, 7 March 2024
...ence of the above expressions from one may be defined only in terms of the distribution law of the random errors $ y _ {ijk} $.
will have non-central chi-squared distributions with $ f _ {m} $
23 KB (3,288 words) - 19:36, 5 June 2020
of a [[Probability distribution|probability distribution]] $ \{ p _ {0} ,p _ {1} , \dots \} $
The probability generating function of the distribution is
12 KB (1,714 words) - 10:58, 29 May 2020
significance: one on the small sample distribution of the sample correlation
rigorous mathematical derivation for Student's $t$-distribution (in his paper
24 KB (3,502 words) - 18:46, 24 March 2023