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ORCIDModel Assisted Statistics and Applications, Volume 13
Volume 13, Number 1, 2018
- Sarjinder Singh
:
STAT-HAWKERS at the JSM-2017, Baltimore, Maryland, USA. 1-3 - Bigyanananda Mohanty, A. K. P. C. Swain:
District level poverty estimation for rural Odisha (India) using different estimation techniques. 5-17 - Devendra Kumar, Manoj Kumar:
Record values from exponentiated Pareto type I distribution and associated inference. 19-43 - Tarno Tarno, Suparti Suparti, Dwi Ispriyanti:
Modeling cayenne production data in Central Java using adaptive neuro fuzzy inference system (ANFIS). 45-52 - Sanghamitra Pal, Arijit Chaudhuri:
Model assisted estimation of sensitive proportions from randomised responses by unequal probability sampling. 53-61 - Rotimi Ogundeji, Ismaila A. Adeleke, Ray Okafor:
An assessment of predictive performance of Zellner's g-priors in Bayesian model averaging. 63-71 - Savita Jain, Kanchan Jain, Suresh Sharma:
Trivariate generalized non linear mixed model with transformations for meta analysis of diagnostic accuracy. 73-83 - Benojir Ahammed, Md. Menhazul Abedin:
Predicting wine types with different classification techniques. 85-93
Volume 13, Number 2, 2018
- Chompunooch Thamanukornsri, Montip Tiensuwan:
Applications of Box-Jenkins (Seasonal ARIMA) and GARCH models to dengue incidence in Thailand. 95-105 - Subhradev Sen, N. Chandra, Sudhansu S. Maiti:
Survival estimation in xgamma distribution under progressively type-II right censored scheme. 107-121 - Rita Diana:
Smoothing spline in multivariable semiparametric regression through fully bayesian approach. 123-132 - Sukhminder S. Osahan:
Sampling strategies for overlapping eligibility groups in the World Trade Center Health Registry. 133-140 - Tatiana Reis Icuma, Jorge Alberto Achcar, Edson Zangiacomi Martinez, Nasser Davarzani:
Determination of optimum medical cut points for continuous covariates in lifetime regression models. 141-159 - Nikita A. Moiseev, Aleksander S. Sorokin:
Interval forecast for model averaging methods. 161-172 - Alexander Dubbs:
Statistics-free sports prediction. 173-181 - Sergei V. Dronov, Eugeny A. Evdokimov:
Post-hoc cluster analysis of connection between the forming characteristics. 183-195 - Luh Yu (Louie) Ren, Christine Ren:
The Sex Dimorphism Ratio in our lifespan. 197-204
Volume 13, Number 3, 2018
- I Gede Nyoman Mindra Jaya, Toni Toharudin, Atje Setiawan Abdullah:
A bayesian spatial autoregressive model with k-NN optimization for modeling the learning outcome of the junior high schools in West Java. 207-219 - Luigi Barazzetti:
Network optimization and design in group-wise registration of terrain corrected satellite images. 221-233 - Joe Walsh, Ian Heazlewood, Mike Climstein:
Application of gradient boosted trees to gender prediction based on motivations of masters athletes. 235-252 - Matthias Fischer, Ingo Klein, Thomas Pleier:
Weighted power mean copulas: theory and application. 253-270 - Vladimir M. Petrov:
Statistical distribution and distribution of power: In search for harmony in international relations. 271-278 - Benny Yong, Nor Azah Samat:
The SIR political fanaticism figure voters model for estimating number of votes in Indonesian presidential elections. 279-286 - Ernest Somua-Wiafe, Abeku Asare-Kumi, Ezekiel N. N. Nortey, Samuel Iddi:
Modelling vehicular crash mortalities in Ghana. 287-295 - Sayan Chakraborty, Danny Scott:
Bayesian reliability optimization for multivariate binary responses. 297-308
Volume 13, Number 4, 2018
- Jennifer L. Waller, Tyler C. Smith:
SAS® Global Forum. 309-310 - Amit K. Ghosh, Praveen Kotekal, Goutam Chakraborty:
Attribute-based sentiment analysis in marketing: Application and strategic implications. 311-318 - Lefei Liu, Peter Liu, Jiawei Liu, Vickey Chang:
Unfold income myth: Revolution in income models with advanced machine learning techniques for better accuracy. 319-327 - Sunny Lam:
The ensemble of neural network and gradient boosting for the prediction of customer profitability: A two-stage modeling approach. 329-340 - Jessica M. Rudd:
Application of support vector machine modeling and graph theory metrics for disease classification. 341-349 - Catherine Halsey, Frans H. J. Kanfer, Sollie Millard:
Minimum information for training a classifier. 351-358 - Deanna N. Schreiber-Gregory:
Ridge Regression and multicollinearity: An in-depth review. 359-365 - Stephen Sloan, Kirk Paul Lafler:
Data preparation and fuzzy matching techniques for improved statistical modeling. 367-375 - Andreas Ekström, Martin Nordberg, Oskar Eriksson:
Shorter waiting time, better emergency healthcare: Forecasting Stockholm's emergency department visits. 377-385 - Acknowledgments. 387-388
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