Search Results - "Sandoval, Mônica C."

Correction to: Bartlett corrections for zero-adjusted generalized linear models by Magalhães, Tiago M., Pereira, Gustavo H. A., Botter, Denise A., Sandoval, Mônica C.

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Some asymptotic inferential aspects of the Kumaraswamy distribution by Carneiro, Hérica P. A., Sandoval, Mônica C., Botter, Denise A., Magalhães, Tiago M.

“…The Kumaraswamy distribution is doubly limited, continuous, very flexible, and is widely applied in hydrology and related areas. Recently, several families of…”
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Bartlett corrections for zero-adjusted generalized linear models by Magalhães, Tiago M., Pereira, Gustavo H. A., Botter, Denise A., Sandoval, Mônica C.

“…Zero-adjusted generalized linear models (ZAGLMs) are used in many areas to fit variables that are discrete at zero and continuous on the positive real numbers…”
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Improved gradient statistic in heteroskedastic generalized linear models by Barros, Fabiana U., Botter, Denise A., Sandoval, Mônica C., Magalhães, Tiago M.

“…In this paper, we obtain the Bartlett-type correction factor for the gradient test statistic in heteroskedastic generalized linear models (HGLMs). We present…”
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Corrigendum to: "Covariance matrix formula for generalized linear models with unknown dispersion" by G. M. Cordeiro, L. P. Barroso, and D. A. Botter [Communications in Statistics-Theory and Methods (2006) 35(1), 113-120] by Magalhães, Tiago M., Botter, Denise A., Sandoval, Mônica C.

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A class of residuals for outlier identification in zero adjusted regression models by Pereira, Gustavo H. A., Scudilio, Juliana, Santos-Neto, Manoel, Botter, Denise A., Sandoval, Mônica C.

“…Zero adjusted regression models are used to fit variables that are discrete at zero and continuous at some interval of the positive real numbers. Diagnostic…”
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Adjusted Pearson residuals in beta regression models by Anholeto, Tatiana, Sandoval, Mônica C., Botter, Denise A.

“…In this paper, matrix formulae of order n^sup -1^, where n is the sample size, for the first two moments of Pearson residuals are obtained in beta regression…”
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Skewness of maximum likelihood estimators in the varying dispersion beta regression model by Magalhães, Tiago M., Botter, Denise A., Sandoval, Mônica C., Pereira, Gustavo H. A., Cordeiro, Gauss M.

“…Beta regression models have been widely used to model rates and proportions. We obtain a matrix formula of order where n is the sample size, for the skewness…”
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The Kumaraswamy normal linear regression model with applications by Cordeiro, Gauss M., Machado, Elizabete C., Botter, Denise A., Sandoval, Mônica C.

“…For any continuous baseline G distribution, Cordeiro and Castro pioneered the Kumaraswamy-G family of distributions with two extra positive parameters, which…”
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Heteroscedastic controlled calibration model applied to analytical chemistry by Blas, Betsabé, Sandoval, Mônica C.

“…In chemical analyses performed by laboratories, one faces the problem of determining the concentration of a chemical element in a sample. In practice, one…”
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A regression model for special proportions by Pereira, Gustavo HA, Botter, Denise A, Sandoval, Mônica C

“…Credit cards are a financial product with special characteristics. Dividing the amount paid by the customer in a given month by the total bill results in a…”
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The Truncated Inflated Beta Distribution by Pereira, Gustavo H. A., Botter, Denise A., Sandoval, Mônica C.

“…The study of proportions is a common topic in many fields of study. The standard beta distribution or the inflated beta distribution may be a reasonable choice…”
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Homoscedastic controlled calibration model by Achic, Betsabé G. Blas, Sandoval, Mônica C., Yoshida, Olga Satomi

“…In the context of the usual calibration model, we consider the case in which the independent variable is unobservable, but a pre‐fixed value on its surrogate…”
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Asymptotic skewness for the beta regression model by Magalhães, Tiago M., Botter, Denise A., Sandoval, Mônica C.

“…The beta regression model can be used to model rates or proportions. We obtain a simple matrix formula of order n−1/2, where n is the sample size, for the…”
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A residual for outlier identification in zero adjusted regression models by Pereira, Gustavo H. A, Rodrigues, Juliana S, Neto, Manoel Santos, Botter, Denise A, Sandoval, Mônica C

“…Zero adjusted regression models are used to fit variables that are discrete at zero and continuous at some interval of the positive real numbers. Diagnostic…”
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Linear calibration in functional regression models by Bolfarine, Heleno, Lima, Claudia R.O.P., Sandoval, Monica C.

“…This paper discusses calibration in functional regression models. Classical and inverse type estimators are considered. First order approximation to the bias…”
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Heteroscedastic controlled calibration model applied to analytical chemistry by Achic, Betsabé G. Blas, Sandoval, Mônica C

“…In chemical analysis made by laboratories one has the problem of determining the concentration of a chemical element in a sample. In order to tackle this…”
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On predicting the population total under regression models with measurement errors by Bolfarine, Heleno, Zacks, Shelemyahu, Sandoval, Mônica C.

“…In this paper we investigate the prediction of the population total T = Σ N k=1 Y k under regression superpopulation models when the explanatory variable…”
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Homoscedastic controlled calibration model by Achic, Betsabé G. Blas, Sandoval, Mônica C, Yoshida, Olga Satomi

“…Journal of Chemometrics, v. 21, p. 145-155, 2007 In the context of the usual calibration model, we consider the case in which the independent variable is…”
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Regression Estimators under Multiplicative Measurement Error Superpopulation Models by Gasco, Loretta, Bolfarine, Heleno, Sandoval, Mônica C.

“…In this paper we consider prediction of the population total under multiplicative structural and functional measurement error models. Regression type…”
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