2014
DOI: 10.2991/978-94-6239-061-4
|View full text |Cite
|
Sign up to set email alerts
|

Normal and Student´s t Distributions and Their Applications

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
48
0
1

Year Published

2015
2015
2023
2023

Publication Types

Select...
7
1
1

Relationship

1
8

Authors

Journals

citations
Cited by 98 publications
(52 citation statements)
references
References 126 publications
3
48
0
1
Order By: Relevance
“…The lower the value of , wider the tails of the pdf becomes and vice versa. The general Student's t distribution has the following properties [17]: a) It has mean = 0 and the standard deviation is greater 1 for degrees of freedom, greater than 2 and it does not exist for 1 and 2 degrees of freedom. For sufficiently large values of the degree of freedom, the Student pdf converges to the Gaussian distribution.…”
Section: Probability Density Function (Pdf)mentioning
confidence: 99%
“…The lower the value of , wider the tails of the pdf becomes and vice versa. The general Student's t distribution has the following properties [17]: a) It has mean = 0 and the standard deviation is greater 1 for degrees of freedom, greater than 2 and it does not exist for 1 and 2 degrees of freedom. For sufficiently large values of the degree of freedom, the Student pdf converges to the Gaussian distribution.…”
Section: Probability Density Function (Pdf)mentioning
confidence: 99%
“…Then one obtains, as a particular case, the Shannon entropy for the half-normal distribution (see Ahsanullah et al 2014), which is given by…”
Section: Shannon Entropymentioning
confidence: 99%
“…For details on some of these distributions, the interested readers are referred to Johnson et al [10], [11], Evans et al [4], Balakrishnan and Nevzorov [3], and Ahsanullah, et al [2], among others. As pointed out by Oldham, et al [14], normal, logistic, and Lorentz (also known as the Cauchy) distributions have applications in chemical separation process, where the chromatographic peaks follow a normal distribution, and the electrochemical peaks follow a logistic distribution.…”
Section: Introductionmentioning
confidence: 99%
“…Before a particular probability distribution model is applied to fit the real-world data, it is necessary to confirm whether the given continuous probability distribution satisfies the underlying requirements by its characterization. A probability distribution can be characterized through various methods, see, for example, Ahsanullah et al [2], among others. In recent years, there has been a great interest in the characterizations of probability distributions by truncated moments.…”
Section: Introductionmentioning
confidence: 99%