Zobrazeno 1 - 10
of 1 863
pro vyhledávání: '"Gauss M"'
Publikováno v:
Stats, Vol 7, Iss 2, Pp 492-507 (2024)
The use of cure-rate survival models has grown in recent years. Even so, proposals to perform the goodness of fit of these models have not been so frequent. However, residual analysis can be used to check the adequacy of a fitted regression model. In
Externí odkaz:
https://doaj.org/article/d721602b618e4c4a8e71aa52bbb9acb6
Publikováno v:
Revstat Statistical Journal, Vol 22, Iss 3 (2024)
The article introduces a new family by combining the Marshall and Olkin-G and Gamma-G classes. It has only two extra shape parameters and can be a better model than other existing classes of distributions. Simulations are performed to verify the cons
Externí odkaz:
https://doaj.org/article/cbf69714ae6a42028f739db14fcedbf3
Publikováno v:
Austrian Journal of Statistics, Vol 53, Iss 4 (2024)
The modified Kies flexible generalized family is developed. It can incorporate bimodal and bathtub shapes, and its properties are derived from those of the exponentiated-G class. Within this family, a special case is discussed in terms of its propert
Externí odkaz:
https://doaj.org/article/38defa2a1cc545529b894cb2f10c70cd
Publikováno v:
COVID, Vol 3, Iss 12, Pp 1761-1780 (2023)
This work aims to study the factors that explain the COVID-19 vaccination rate through a generalized odd log-logistic Lindley regression model with a shape systematic component. To accomplish this, a dataset of the vaccination rate of 254 counties in
Externí odkaz:
https://doaj.org/article/f3bfe14b64e74de78efd21a813192544
Publikováno v:
Stats, Vol 6, Iss 4, Pp 1260-1279 (2023)
We define and study the four-parameter logistic Burr XII distribution. It is obtained by inserting the three-parameter Burr XII distribution as the baseline in the logistic-X family and may be a useful alternative method to model income distribution
Externí odkaz:
https://doaj.org/article/9f776eb5bd194926bcd2ca48e7806d05
Publikováno v:
Stats, Vol 6, Iss 2, Pp 657-673 (2023)
The Weibull is a popular distribution that models monotonous failure rate data. In this work, we introduce the four-parameter Weibull extended Weibull distribution that presents greater flexibility, thus modeling data with bathtub-shaped and unimodal
Externí odkaz:
https://doaj.org/article/b8958b067dbd47199ee36662edadaa1a
Autor:
Fábio Prataviera, Elizabeth M. Hashimoto, Edwin M. M. Ortega, Taciana V. Savian, Gauss M. Cordeiro
Publikováno v:
Stats, Vol 6, Iss 2, Pp 643-656 (2023)
Proportional hazards models and, in some situations, accelerated failure time models, are not suitable for analyzing data when the failure ratio between two individuals is not constant. We present a Weibull accelerated failure time model with covaria
Externí odkaz:
https://doaj.org/article/a1a8847597da41b695e65ab696b28e34
Autor:
Elisângela C. Biazatti, Gauss M. Cordeiro, Gabriela M. Rodrigues, Edwin M. M. Ortega, Luís H. de Santana
Publikováno v:
Stats, Vol 5, Iss 4, Pp 1159-1173 (2022)
Motivated by the recent popularization of the beta prime distribution, a more flexible generalization is presented to fit symmetrical or asymmetrical and bimodal data, and a non-monotonic failure rate. Thus, the Weibull-beta prime distribution is def
Externí odkaz:
https://doaj.org/article/8be1069b7cd14353bfa84c5f8f01e390
Publikováno v:
Axioms, Vol 12, Iss 11, p 1027 (2023)
Regression analysis can be appropriate to describe a nonlinear relationship between the response variable and the explanatory variables. This article describes the construction of a partially linear regression model with two systematic components bas
Externí odkaz:
https://doaj.org/article/144fc73a55b24e19b2f3b4d3102a7bd2
Publikováno v:
Stats, Vol 5, Iss 1, Pp 215-257 (2022)
We study the Stacy-G family, which extends the gamma-G class and provides four of the most well-known forms of the hazard rate function: increasing, decreasing, bathtub, and inverted bathtub. We provide some of its structural properties. We estimate
Externí odkaz:
https://doaj.org/article/60f71e283397472fbe2fbd72d7a1af2a