KAJIAN FUNGSI-FUNGSI PROBABILITAS YANG BERASAL DARI DISTRIBUSI NORMAL STANDAR
Rahmi A. Halim
Abstract
Rahmi A. Halim
Abstract
In searching a opportunity distribution a function from one or more random usually in finishing with selected method, to be obtained by data is correctness. method of Transformation variable is one of the technique all important in determining probability functions. Determination of function of densities the probability in pass Jacobian and process integrate from Normal distribution Lean. Normal Distribution of Standard is one of the distribution function which used many from at other distribution functions. At the writing of this thesis aim to show probability functions to be alighted from by Normal distribution of Standard by 2 random variable and 3 random variable in the form of variable transformation. The Normal distribution of Standard with function of transformation selected variable at 2 obtained by random variable of normal distribution form , distribution of exponential-( ), distribution of Cauchy-(1, 0), distribution of beta2- , distribution of gamma-(1, 1), and distribution of beta1- . While from Normal distribution of Standard with function of transformation selected variable at 3 obtained by random variable of normal distribution for- , normal distribution - , and distribution of beta2-
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In searching a opportunity distribution a function from one or more random usually in finishing with selected method, to be obtained by data is correctness. method of Transformation variable is one of the technique all important in determining probability functions. Determination of function of densities the probability in pass Jacobian and process integrate from Normal distribution Lean. Normal Distribution of Standard is one of the distribution function which used many from at other distribution functions. At the writing of this thesis aim to show probability functions to be alighted from by Normal distribution of Standard by 2 random variable and 3 random variable in the form of variable transformation. The Normal distribution of Standard with function of transformation selected variable at 2 obtained by random variable of normal distribution form , distribution of exponential-( ), distribution of Cauchy-(1, 0), distribution of beta2- , distribution of gamma-(1, 1), and distribution of beta1- . While from Normal distribution of Standard with function of transformation selected variable at 3 obtained by random variable of normal distribution for- , normal distribution - , and distribution of beta2-
Key concepts: Log-Cauchy distribution, Compound probability distribution, Univariate distribution, Ratio distribution, Inverse-chi-squared distribution, Kolmogorov–Smirnov test, Normal distribution, Random variable