Search Results - "Journal of applied statistics"

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  1. 1

    Ordered quantile normalization: a semiparametric transformation built for the cross-validation era by Peterson, Ryan A., Cavanaugh, Joseph E.

    Published in Journal of applied statistics (17-11-2020)
    “…Normalization transformations have recently experienced a resurgence in popularity in the era of machine learning, particularly in data preprocessing. However,…”
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  2. 2

    The relative performance of ensemble methods with deep convolutional neural networks for image classification by Ju, Cheng, Bibaut, Aurélien, van der Laan, Mark

    Published in Journal of applied statistics (01-01-2018)
    “…Artificial neural networks have been successfully applied to a variety of machine learning tasks, including image recognition, semantic segmentation, and…”
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  3. 3

    An R2 statistic for fixed effects in the generalized linear mixed model by Jaeger, Byron C., Edwards, Lloyd J., Das, Kalyan, Sen, Pranab K.

    Published in Journal of applied statistics (01-05-2017)
    “…Measuring the proportion of variance explained ( ) by a statistical model and the relative importance of specific predictors (semi-partial ) can be essential…”
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  4. 4

    Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ by van Doorn, J., Ly, A., Marsman, M., Wagenmakers, E.-J.

    Published in Journal of applied statistics (09-12-2020)
    “…Bayesian inference for rank-order problems is frustrated by the absence of an explicit likelihood function. This hurdle can be overcome by assuming a latent…”
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  5. 5

    Robust analogs to the coefficient of variation by Arachchige, Chandima N. P. G., Prendergast, Luke A., Staudte, Robert G.

    Published in Journal of applied statistics (25-01-2022)
    “…The coefficient of variation (CV) is commonly used to measure relative dispersion. However, since it is based on the sample mean and standard deviation,…”
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  6. 6

    The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates by Mazucheli, J., Menezes, A. F. B., Fernandes, L. B., de Oliveira, R. P., Ghitany, M. E.

    Published in Journal of applied statistics (25-04-2020)
    “…The Beta distribution is the standard model for quantifying the influence of covariates on the mean of a response variable on the unit interval. However, this…”
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  7. 7

    Testing fractional unit roots with non-linear smooth break approximations using Fourier functions by Gil-Alana, Luis A., Yaya, OlaOluwa S.

    Published in Journal of applied statistics (18-11-2021)
    “…In this paper, we present a testing procedure for fractional orders of integration in the context of non-linear terms approximated by Fourier functions. The…”
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  8. 8

    On the one parameter unit-Lindley distribution and its associated regression model for proportion data by Mazucheli, Josmar, Menezes, André Felipe Berdusco, Chakraborty, Subrata

    Published in Journal of applied statistics (12-03-2019)
    “…In this paper considering an appropriate transformation on the Lindley distribution, we propose the unit-Lindley distribution and investigate some of its…”
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  9. 9

    An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19 by Pustokhin, Denis A., Pustokhina, Irina V., Dinh, Phuoc Nguyen, Phan, Son Van, Nguyen, Gia Nhu, Joshi, Gyanendra Prasad, K., Shankar

    Published in Journal of applied statistics (17-02-2023)
    “…In recent days, COVID-19 pandemic has affected several people's lives globally and necessitates a massive number of screening tests to detect the existence of…”
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  10. 10

    A size-of-loss model for the negatively skewed insurance claims data: applications, risk analysis using different methods and statistical forecasting by Mohamed, Heba Soltan, Cordeiro, Gauss M., Minkah, R., Yousof, Haitham M., Ibrahim, Mohamed

    Published in Journal of applied statistics (25-01-2024)
    “…The future values of the expected claims are very important for the insurance companies for avoiding the big losses under uncertainty which may be produced…”
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  11. 11

    A new Poisson Liu Regression Estimator: method and application by Qasim, Muhammad, Kibria, B. M. G., Månsson, Kristofer, Sjölander, Pär

    Published in Journal of applied statistics (09-09-2020)
    “…This paper considers the estimation of parameters for the Poisson regression model in the presence of high, but imperfect multicollinearity. To mitigate this…”
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  12. 12

    The unit log-log distribution: a new unit distribution with alternative quantile regression modeling and educational measurements applications by Korkmaz, Mustafa Ç., Korkmaz, Zehra Sedef

    Published in Journal of applied statistics (12-03-2023)
    “…In this paper, we propose a new distribution, named unit log-log distribution, defined on the bounded (0,1) interval. Basic distributional properties such as…”
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  13. 13

    Collinearity diagnostic applied in ridge estimation through the variance inflation factor by Salmeron Gomez, Roman, Garcia Perez, Jose, Lopez Martin, Maria Del Mar, Garcia, Catalina Garcia

    Published in Journal of applied statistics (26-07-2016)
    “…The variance inflation factor (VIF) is used to detect the presence of linear relationships between two or more independent variables (i.e. collinearity) in the…”
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  14. 14

    Modified ridge-type for the Poisson regression model: simulation and application by Lukman, Adewale F., Aladeitan, Benedicta, Ayinde, Kayode, Abonazel, Mohamed R.

    Published in Journal of applied statistics (11-06-2022)
    “…The Poisson regression model (PRM) is employed in modelling the relationship between a count variable (y) and one or more explanatory variables. The parameters…”
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  15. 15

    A new unit root test with two structural breaks in level and slope at unknown time by Narayan, Paresh Kumar, Popp, Stephan

    Published in Journal of applied statistics (01-09-2010)
    “…In this paper, we propose a new augmented Dickey-Fuller-type test for unit roots which accounts for two structural breaks. We consider two different…”
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  16. 16

    Collinearity: revisiting the variance inflation factor in ridge regression by Garcia, C B, Garcia, J, Lopez Martin, MM, Salmeron, R

    Published in Journal of applied statistics (04-03-2015)
    “…Ridge regression has been widely applied to estimate under collinearity by defining a class of estimators that are dependent on the parameter k. The variance…”
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  17. 17

    Statistical models of near-accident event and pedestrian behavior at non-signalized intersections by Shen, Xun, Raksincharoensak, Pongsathorn

    Published in Journal of applied statistics (18-11-2022)
    “…This paper proposes an innovative framework of modeling the statistical properties of the near-accident event and pedestrian behavior at non-signalized…”
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  18. 18

    Validation of Burr XII inverse Rayleigh model via a modified chi-squared goodness-of-fit test by Goual, Hafida, Yousof, Haitham M.

    Published in Journal of applied statistics (17-02-2020)
    “…In this work, we propose a new three parameter distribution called the Burr XII inverse Rayleigh model, this model is a generalization of the inverse Rayleigh…”
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  19. 19

    Missing data methods for arbitrary missingness with small samples by McNeish, Daniel

    Published in Journal of applied statistics (02-01-2017)
    “…Missing data are a prevalent and widespread data analytic issue and previous studies have performed simulations to compare the performance of missing data…”
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  20. 20

    A new two-parameter exponentiated discrete Lindley distribution: properties, estimation and applications by El-Morshedy, M., Eliwa, M. S., Nagy, H.

    Published in Journal of applied statistics (25-01-2020)
    “…This paper introduces a new two-parameter exponentiated discrete Lindley distribution. A wide range of its structural properties are investigated. This…”
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