3 citations · 8 across the 20 of their papers we have counts for
12 papers · 1 filter
Robust tests for log-logistic models based on minimum density power divergence estimators
A. Felipe, M. Jaenada, P. Miranda +1
The log-logistic distribution is a versatile parametric family widely used across various applied fields, including survival analysis, reliability engineering, and econometrics. Wh…
Robust statistical inference for accelerated life-tests with one-shot devices under log-logistic distributions
María González-Calderón, María Jaenada, Leandro Pardo
A one-shot device is a unit that operates only once, after which it is either destroyed or needs to be rebuilt. For this type of device, the operational status can only be assessed…
Robust estimators for the log-logistic model based on ranked set sampling
Ángel Felipe, María Jaenada, Pedro Miranda +1
In this paper we introduce a new family of estimators for the parameters of shape and scale of the log-logistic distribution being robust when rank set sample method is used to sel…
Robust inference for an interval-monitored step-stress experiment under proportional hazards
Narayanaswamy Balakrishnan, María Jaenada, Leandro Pardo
Accelerated life tests (ALTs) play a crucial role in reliability analyses, providing lifetime estimates of highly reliable products. Among ALTs, step-stress design increases the st…
Robust parameter estimation of the log-logistic distribution based on density power divergence estimators
A. Felipe, M. Jaenada, P. Miranda +1
Robust inferential methods based on divergences measures have shown an appealing trade-off between efficiency and robustness in many different statistical models. In this paper, mi…
Robust inference for an interval-monitored step-stress experiment with competing risks for failure
Narayanaswamy Balakrishnan, Maria Jaenada, Leandro Pardo
Accelerated life-tests (ALTs) are used for inferring lifetime characteristics of highly reliable products. In particular, step-stress ALTs increase the stress level at which units…
Model Selection for independent not identically distributed observations based on Rényi's pseudodistances
Angel Felipe, Maria Jaenada, Pedro Miranda +1
Model selection criteria are rules used to select the best statistical model among a set of candidate models, striking a trade-off between goodness of fit and model complexity. Mos…
Restricted distance-type Gaussian estimators based on density power divergence and their applications in hypothesis testing
Ángel Felipe, María Jaenada, Pedro Miranda +1
Zhang (2019) presented a general estimation approach based on the Gaussian distribution for general parametric models where the likelihood of the data is difficult to obtain or unk…
The restricted minimum density power divergence estimator for non-destructive one-shot device testing the under step-stress model with exponential lifetimes
Narayanaswamy Balakrishnan, María Jaenada, Leandro Pardo
One-shot devices data represent an extreme case of interval censoring.Some kind of one-shot units do not get destroyed when tested, and so, survival units can continue within the t…
Robust approach for comparing two dependent normal populations through Wald-type tests based on Rényi's pseudodistance estimators
María Jaenada, Elena Castilla, Nirian Martín +1
Since the two seminal papers by Fisher (1915, 1921) were published, the test under a fixed value correlation coefficient null hypothesis for the bivariate normal distribution const…
Estimation and testing on independent not identically distributed observations based on Rényi's pseudodistances
Elena Castilla, Maria Jaenada, Leandro Pardo
In real life we often deal with independent but not identically distributed observations (i.n.i.d.o), for which the most well-known statistical model is the multiple linear regress…
On regularization methods based on Rényi's pseudodistances for sparse high-dimensional linear regression models
Elena Castilla, Abhik Ghosh, María Jaenada +1
Several regularization methods have been considered over the last decade for sparse high-dimensional linear regression models, but the most common ones use the least square (quadra…