Mixed Poisson Processes with Dropout for Consumer Studies by Andrey Pepelyshev, Irina Scherbakova, Yuri Staroselskiy

Get full text

Monitoring process mean with a new EWMA control chart Um novo gráfico de controle EWMA para monitoramento da média de processo by Yang Su-Fen, Tsai Wen-Chi, Huang Tzee-Ming, Yang Chi-Chin, Cheng Smiley

Get full text

Bayesian generalized dissimilarity model for marine biodiversity analysis by Evellin Dewi Lusiana, Suci Astutik, Nurjannah, Abu Bakar Sambah

Get full text

Sample size required for prognostic genes analysis in colorectal cancer by Chuanhua Zhao, Xiao Lou, Weilu Jia, Zhiyi Wan, Xin Lu, Yuxuan Qiu, Qianru Xu, Kaiyu Jian, Hongyan Zhang, Feng Liang

“…In both cohorts, the proportion of true prognostic genes relative to sample size was consistent with a binomial distribution, indicating a significant effect of sample size on the reliability of prognostic genes. …”
Get full text

Levels of Confidence and Utility for Binary Classifiers by Zhiyi Zhang

Get full text

Towards the Question on the Zero Subject in English by I. S. Stepanenko, L. A. Ulianitckaia, T. V. Shulzhenko

“…The research methodology is based on traditional approaches towards studying the phenomenon of zero subject, as well as on the binomiality idea, having been developed since 1993 at ETU. …”
Get full text

Citizens' Attitudes Towards Local Services Accountability and Transparency: by Lejla Lazović Pita, Velma Pijalović, Lamija Šćeta, Almir Peštek

“…Design/Methodology/Approach: An opinion survey[1] on a sample of 250 respondents and four binomial regressions were conducted to measure the factors that affect the perceived downward accountability and transparency of the two public services. …”
Get full text

Exploring the relationship between blood platelet and other components utilizing count regression: A cross‐sectional study in Bangladesh by Umme Honey, SM Arif Bin Saleh, Md. Sifat Ar Salan, Mohammad Alamgir Kabir, Akher Ali

“…Methods A cross‐sectional study utilized data from 3120 individuals, including both male and female participants, who visited these hospitals between June 16, 2022 and December 17, 2022, to assess their blood samples through testing by using convenience non‐parametric sampling framework. …”
Get full text

Modeling and mapping under-nutrition among under-five children in Ethiopia: a Bayesian spatial analysis by Fekade Getabil Habtewold, Butte Gotu Arero

“…The parameter estimation was carried out using Bayesian Markov Chain Monte Carlo (MCMC) through the brms package in R, which interfaces with Stan for efficient sampling. The models were evaluated based on the Watanabe Akaike Information Criterion (WAIC) and Leave-One-Out (LOO) cross-validation, with CAR BYM emerging as the best-fitting model. …”
Get full text

Visual Discrimination Task in Guppies Using a Simultaneous Matching-to-Sample Procedure by Gabriela Gjinaj, Marco Dadda, Maria Elena Miletto Petrazzini

“…Performance was analyzed using binomial tests, t-tests, and generalized linear mixed models. …”
Get full text

Class of Calibrated Estimators of Population Proportion Under Diagonal Systematic Sampling Scheme by Ahmed Audu, Maggie Aphane, Jabir Ahmad, Ran Vijay Kumar Singh

“…The theoretical findings were supported by simulation studies on five populations generated using the binomial distribution with various success probabilities. …”
Get full text

A New Approach to the Zero Subject in English by E. J. Ibragimova, T. V. Shulzhenko, A. А. Shumkov

“…The research methodology is based on the binomiality idea, having been developed since 1993 at ETU “LETI” by means of the method of formal-logical modelling. …”
Get full text

Estimation of the Binominal Distribution Parameters Using the Method of Moments and Its Asymptotic Properties by A.N. Safiullina

“…The problem of estimating the parameters m and p of the binomial distribution for a sample having the fixed volume n with the help of the method of moments is considered in this paper. …”
Get full text

Utilisation of Hospital Outpatient Services by Diabetes Mellitus Sufferers, Analysis of BPJS Kesehatan Sample Data by Erfan Chandra Nugraha, Pujiyanto Pujiyanto, Vetty Yulianty Permanasari

“…This research uses secondary data from the 2022 DM contextual BPJS Health sample data. The data was analysed univariately, bivariately, and multivariately with the Zero Inflated Negative Binomial regression model. …”
Get full text

Bird population trend analyses for a monitoring scheme with a highly structured sampling design by Rieger, Mirjam R, Grüneberg, Christoph, Oberhaus, Michael, Trautmann, Sven, Parepa, Madalin, Anthes, Nils

“…We developed a GAMM-based workflow that addresses these challenges and exemplify its application with the highly structured data from the Ecological Area Sampling (EAS) in the German federal state North Rhine-Westphalia (NRW). …”
Get full text

Access to Disability-related Healthcare among People with Visual Disability in India: Evidence from a National Sample Survey by Ashok Kumar, Praveena Tandon, Gaurav Meratwal

“…Binomial logistic regression was used to find the association between access to disability-related healthcare and sociodemographic characteristics. …”
Get full text

Bayesian and Non-Bayesian for Generalized Kavya–Manoharan Exponential Distribution Based on Progressive-Stress ALT Under Generalized Progressive Hybrid Censoring Scheme by Ehab M. Almetwally, Osama M. Khaled, Hisham M. Almongy, Haroon M. Barakat

Get full text

Chronic Overlapping Pain Conditions in people with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): a sample from the Multi-site Clinical Assessment of ME/CFS (MCAM) st... by Elizabeth A. Fall, Yang Chen, Jin-Mann S. Lin, Anindita Issa, Dana J. Brimmer, Lucinda Bateman, Charles W. Lapp, Richard N. Podell, Benjamin H. Natelson, Andreas M. Kogelnik, Nancy G. Klimas, Daniel L. Peterson, Elizabeth R. Unger, for the MCAM Study Group

Get full text

Inference with Pólya-Gamma Augmentation for US Election Law by Adam C. Hall, Joseph Kang

Get full text

Waste not, want not: why rarefying microbiome data is inadmissible. by Paul J McMurdie, Susan Holmes

“…We show how both proportions and rarefied counts result in a high rate of false positives in tests for species that are differentially abundant across sample classes. Regarding microbiome sample-wise clustering, we also show that the rarefying procedure often discards samples that can be accurately clustered by alternative methods. …”
Get full text