[PDF] Top 20 On generating T-X family of distributions using quantile functions
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On generating T-X family of distributions using quantile functions
... The results in Table 2 indicate that the five-parameter NW{C} provides the best fit followed by mixture normal based on all three measures, log-likelihood, AIC and K-S statistic. When bimodality is a population ... See full document
17
T-normal family of distributions: a new approach to generalize the normal distribution
... of generating skewed distributions from normal has been of great interest among researchers for ...normal distributions using the T-X ...of distributions are named as ... See full document
18
Moment-Generating Functions and Reproductive Properties of Distributions
... that X is a random variable; that is, X is a function from the sample space to the real ...variable X, such that E X or V X , ( ) ( ) we work directly with the probability distribution ... See full document
7
The Transmuted Exponentiated Generalized-G Family of Distributions
... ExG-G family by using special parameter ...moments, quantile and generating functions, mean deviations, entropies, order statistics and probability weighted moments are ...proposed ... See full document
24
The Nadarajah Haghighi Topp Leone-G Family of Distributions with Mathematical Properties and Applications
... continuous distributions, also ...new family called the Nadarajah Haghighi Topp Leone-G family based on the Nadarajah Haghighi distribution, the T-X and TL-G ...new family and ... See full document
18
The Gumbel- Pareto Distribution: Theory and Applications
... a family of T-X distributions arising from the logit function of the CDF of a continuous random variable when the random variable T is defined on (−∞, ...transformation functions ... See full document
11
On Generating a New Family of Distributions Using the Tangent Function
... this family, let the random variable 𝑋 𝑓 follow Generalized Hyperbolic Secant (Generalized inverse-hyperbolic cosine) distribution with location parameter −∞ < 𝛼 < ∞ and scale parameter 𝛽 > 0, its PDF is ... See full document
29
A new Weibull-X family of distributions: properties, characterizations and applications
... new family of univariate distributions generated from the Weibull random variable, called a new Weibull-X family of ...proposed family are presented and the shapes of density and hazard ... See full document
18
Type I General Exponential Class of distributions
... rate functions, mixture representation for the density, quantile function, moments, moment generating function (mgf) and mean ...new family and estimation of the model parameters using ... See full document
17
Families of distributions arising from the quantile of generalized lambda distribution
... variable T other than those with only bounded, semi-infinite, or whole real line ...the T- R{Y} framework so far, the random variable Y has one type of ...variable T. By allowing one to apply ... See full document
18
<p>K-means clustering of overweight and obese population using quantile-transformed metabolic data</p>
... rst quantile value or more than the third quantile ...the quantile method (Method S3) in R soft- ware package factoextra (version ...rst quantile were assigned a digit one; values between the ... See full document
10
Multiplier problems for spaces of continuous functions with p-summable transforms
... 1.2.1 SPACES OF FUNCTIONS, MEASURES AND DISTRIBUTIONS We denote by 00 C,C ,V respectively the space of continuous functions, the space of infinitely differentiable functions, and the T..[r] ... See full document
121
Exogenous impact and conditional quantile functions
... D txdqwloh edvhg dssurdfk lv zhoo vxlwhg wr wkh dqdo|vlv ri qrqolqhdu vwuxfwxudo prghov lq zklfk wkhuh duh prqrwrqlflw| uhvwulfwlrqv ehfdxvh txdqwlohv reh| prqrwrqlf qrqolqhdu wudqvirupd[r] ... See full document
14
A General Transmuted Family of Distributions
... variables X and p(t) be density function of a bounded random variable with support on [0, 1], then the cubic transmuted family given in (3) can be obtained by using T − X ... See full document
19
Optimal Data Distributions in Machine Learning
... Up to now, Machine Learning has permeated behavioral biology with methods as the one described in the previous chapter, where the task of classifying fractions of videos into specific behaviors fits perfectly under the ... See full document
125
Technical note: Combining quantile forecasts and predictive distributions of streamflows
... In Gneiting et al. (2005) and Gneiting et al. (2007) the term “calibration” is used to describe the statistical consistency between the distributional forecasts and the observations and is a joint property of the ... See full document
10
The frequentist implications of optional stopping on Bayesian hypothesis tests
... There are a couple arguments that have been put forward defending the intermediate favoring of the null hypothesis. The first is that researchers should not worry because the effect would have to so small as to have no ... See full document
28
On a Paper in Connection with the Derivation of Generating Functions Involving Laguerre Polynomials
... In this section of the present note, we have given some of our observations on the works 1.2 . At first, we would like to mention that the authors of the paper 1 perhaps fail to notice the work 4 in which the above ... See full document
10
On trilateral and trilinear generating functions
... (2.11) Finally, using (2.9), we easily arrive at the right-hand side of (2.1). This completes the proof of Theorem 2.1. By similar manner as in proof of Theorem 2.1, we can prove the Theorem 2.2. Remark 2.1 On ... See full document
10
Bayesian analysis of marshall and olkin family of distributions
... Weakly Informative Prior (WIP) distribution uses prior information for regularization and stabilization, providing enough prior information to prevent results that contradict our knowledge or problems such as an ... See full document
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