Increased Statistical Efficiency in a Lognormal Mean Model by Grant H. Skrepnek, Ashok Sahai

“…As such, logarithmic transformations are often advocated to achieve the assumptions of parametric statistical inference. Despite this, existing approaches that utilize only a sample’s mean and variance may not necessarily yield the most efficient estimator. …”
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Bayesian modeling of binomial experiments in sociology: problem analysis by A. A. Zvonok

“…The main methodological foundations of application of Bayesian approach in statistics are briefly reviewed: the use of priors in analysis, features of Bayesian statistical inference, differences in frequency and Bayesian confidence intervals, features of hypothesis testing in Bayesian statistics. …”
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Asymptotic behavior of the empirical checkerboard copula process for binary data: An educational presentation by Christian Genest, Johanna G. Nešlehová

“…The empirical multilinear or checkerboard copula process is a promising tool for statistical inference in copula models for data with ties (Genest et al., 2019a). …”
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Paul’s Style and the Problem of the Pastoral Letters: Assessing Statistical Models of Description and Inference by Pracht Erich Benjamin, McCauley Thomas

“…With our approach, we have found a way to utilize Paul’s authentic letters as a standard of measurement by which the style(s) of the Pastorals can be compared, an essential first step to statistical inference that is generally lacking in Pauline stylometry. …”
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Test for Change in Error Variance of Multiple Time Series by Elfred John C. Abacan, Joseph Ryan G. Lansangan, Erniel B. Barrios

“…However, changes in variance of the error structure leads to misspecification of models that complicates statistical inference. Volatility structures may incorporate variance into the time series models, but these can easily lead to overparameterization in multiple time series. …”
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Flexible Lévy-Based Models for Time Series of Count Data with Zero-Inflation, Overdispersion, and Heavy Tails by Confort Kollie, Philip Ngare, Bonface Malenje

“…We propose an extension of the basic stationary framework to capture additional marginal properties, such as heavy-tailedness, in both short-term and long-term dependencies, as well as overdispersion and zero inflation in simultaneous modeling. Statistical inference is based on composite pairwise likelihood. …”
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Maximum Likelihood Inference for Univariate Delay Differential Equation Models with Multiple Delays by Ahmed A. Mahmoud, Sarat C. Dass, Mohana S. Muthuvalu, Vijanth S. Asirvadam

“…This article presents statistical inference methodology based on maximum likelihoods for delay differential equation models in the univariate setting. …”
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Estimating Shape Parameters of Piecewise Linear-Quadratic Problems by Zheng, Peng, Ramamurthy, Karthikeyan Natesan, Aravkin, Aleksandr Y.

“…Piecewise Linear-Quadratic (PLQ) penalties are widely used to develop models in statistical inference, signal processing, and machine learning. …”
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Entropic imprints on bioinformatics by Ismail Mageed

“…The entropic framework is a crucial method in statistical inference that helps scientists create models to describe and predict biological systems, particularly complex networks like gene interactions. …”
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Postpandemic Stress Disorder among Health Care Personnel: A Cross-Sectional Study (Silesia, Poland) by Mateusz Grajek, Patryk Szlacheta, Karolina Sobczyk, Karolina Krupa-Kotara, Beata Łabuz-Roszak, Ilona Korzonek-Szlacheta

“…The probability level was 0.05. Results. Statistical inference made it clear that mental health problems that may indicate trauma are mainly present in the FR group. …”
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Benefits of Dance Therapy in Overweight and Obese Women by Katia Rodríguez Palacios, Isaac Rodríguez Palacios, Lázaro Dionisio Rojas Matsuda, Yarisel López Pérez, Ismaray Sacerio González, Ivis Triana Oquendo

“…The results are presented in tables and graphs and statistical inference tests (difference between means) were applied to determine the differences between each stage with a requirement of 95 %. …”
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Inference of a three-gene network underpinning epidermal stem cell development in Caenorhabditis elegans by Alicja Brożek, Arianna Ceccarelli, Andreas Christ Sølvsten Jørgensen, Mark Hintze, Vahid Shahrezaei, Michalis Barkoulas

“…Here, we integrate experimental data, mathematical modeling, and statistical inference to investigate this network, focusing on three core transcription factors (TFs), namely ELT-1, EGL-18, and CEH-16. …”
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Human Trajectory Imputation Model: A Hybrid Deep Learning Approach for Pedestrian Trajectory Imputation by Deb Kanti Barua, Mithun Halder, Shayanta Shopnil, Md. Motaharul Islam

“…Previous attempts to address this issue, such as statistical inference and machine learning approaches, have shown promise. …”
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Role of denoisers in simulation-based inference from graph-structured data: a case study for position inference in an astroparticle detector by Venkat Roy, Aaron Higuera, Shixiao Liang, Christina Peters, Waheed U. Bajwa, Christopher D. Tunnell

“…Abstract The focus of this paper is to improve simulation-based inference through improved denoising of experimental data. Statistical inference of parameters governing a complex physical process from observed data is an important task for several scientific domains. …”
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Dietary supplementation with Jasminum sambac leaf powder: Effects on growth, hematology, and immune parameters in broiler chickens by Iram Maqsood, Samreen Sareer, Shafique Ur Rehman, Ayesha Hidayat, Madeeha Shah, Saira Awaz, Rong Ke

“…One-way ANOVA was used to determine statistical inference among groups. Feeding JSLP resulted in a significant increase in body weight (BW), body weight gain (BWG), and feed intake (P<0.05), while faecal coliforms were significantly reduced (P<0.01). …”
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Long-term monitoring of plant diversity data in the “Montagna di Torricchio” Strict Nature Reserve, Italyb2share - EUDAT by Marco Cervellini, Leonardo Salvatori, Stefano Chelli, Federico Maria Tardella, Alessandro Chiarucci, James L. Tsakalos, Giandiego Campetella, Maura Francioni, Luciano Ludovico Maria De Benedictis, Roberto Canullo

“…This dataset allows for the study of plant diversity changes over space and time across different habitat types by using statistical inference based on solid sampling theory.…”
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Prevalence, predictors and selected outcomes of early sexual initiation among adolescents in secondary schools in Lugbe, Abuja, Nigeria: a mixed methods study by Uchechi Grace Okonta

“…Descriptive and inferential statistical analysis was done including a binary logistic regression to determine the predictive factors and outcomes of early sexual initiation with statistical inference made at p value &lt;0.05.Results The prevalence of early sexual initiation was 11%; 80% of the respondents who had initiated sex did so before age 15, while 20% had first sex at ages between 15 and 19. …”
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The efficiency of urban public transport and its impact on environmental sustainability by Joaquín Sánchez Toledano, Beatriz Duarte Monedero, Sandra Flores - Ureba, Clara Simón de Blas

“…The sample comprises companies providing bus and metro transport services in four of the biggest cities in Spain during the period 2017 - 2021.The methodology used will be (1) a description of the main variables of these companies and (2) a data envelopment analysis and the Malmquist index as statistical inference estimators to provide the productivity, efficiency change (EFCH) into Pure Technical Efficiency Change (PTECH), and Scale Efficiency Change of the analyzed companies. …”
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Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems by Michele Lungaroni, Andrea Murari, Emmanuele Peluso, Pasqualino Gaudio, Michela Gelfusa

“…The results of a series of systematic numerical tests show the advantages of the proposed approach in all the main aspects of statistical inference, from measures of location and scale to size effects and hypothesis testing. …”
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Association between time consumption of electronic screens with eating behaviors and academic performance for pupils in elementary schools by Mohammed A. S. Al-Wily, Luay A. M. Al-Waly

“…The data analysis techniques employed were statistical methods such as descriptive and statistical inference. Results: The findings of the study are 73.8% (177) of the sample at a level good academic performance with a total mean of 24.35 and a standard deviation of 8.558 that 78.3% (188) of the sample a good level of pupils’ behavior around food with a total mean of 49.47 and a standard deviation of 12.460. …”
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