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Journal articles on the topic 'Binomial account'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Sutanapong, Chanoknath. "Current Account Balance Analysis of ASEAN Countries." Inter. J. Res. Methodol. Soc. Sci 1, no. 2 (2015): 18–24. https://doi.org/10.5281/zenodo.1320761.

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The purpose of this paper is to provide a practical tool for binomial proportion in two sample studies. This binomial proportion of two sample analysis is a special case because it deals with discrete data. A discrete data is a categorical data where the category of interest is designated as 1 else 0. The data used in this paper comes from the IMF’s annual report for World Economic Outlook. We extracted the current account balance as a percentage of the GDP as the unit of analysis. The countries of focus are the 10 countries in the ASEAN. The research question is “which country in

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2

Miller, Timothy J. "A comparison of hierarchical models for relative catch efficiency based on paired-gear data for US Northwest Atlantic fish stocks." Canadian Journal of Fisheries and Aquatic Sciences 70, no. 9 (2013): 1306–16. http://dx.doi.org/10.1139/cjfas-2013-0136.

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Selectivity and catch comparison studies are important for surveys that use two or more gears to collect relative abundance information. Prevailing model-based analytical methods for studies using a paired-gear design assume a binomial model for the data from each pair of gear sets. Important generalizations include nonparametric smooth size effects and normal random pair and size effects, but current methods for fitting models that account for random smooth size effects are restrictive, and observations within pairs may exhibit extra-binomial variation. I propose a hierarchical model that acc

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Upadhyay, Shyamashree. "The Hilbert-Kunz Function for Binomial Hypersurfaces." Algebra 2014 (November 27, 2014): 1–15. http://dx.doi.org/10.1155/2014/525467.

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I give an iterative closed form formula for the Hilbert-Kunz function for any binomial hypersurface in general, over any field of arbitrary positive characteristic. I prove that the Hilbert-Kunz multiplicity associated with any binomial hypersurface over any field of arbitrary positive characteristic is rational. As an example, I also prove the well known fact that for 1-dimensional binomial hypersurfaces the Hilbert-Kunz multiplicity is a positive integer and give a precise account of the integer.

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4

Hanafizadeh, Payam, Amir Hossein Mortazavi Qahi, and Kumaraswamy Ponnambalam. "Robust Option through Binomial Tree Method." International Journal of Strategic Decision Sciences 6, no. 4 (2015): 42–53. http://dx.doi.org/10.4018/ijsds.2015100103.

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This study proposes a robust approach for pricing a European option using the binomial tree method. This method considers stock up and down prices in a closed and convex region, called the uncertainty region, defined by the covariance matrix of high and low stock prices. The option model uses this uncertainty region for pricing instead of spot prices. The method proposes an interval of prices for an option considering incidences of the worst and the best states of the stock price. The interval is flexible as it takes into account the covariance of the historical data of a stock's high and low

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5

Hansson, Mari, John Pemberton, Ola Engkvist, et al. "On the Relationship between Molecular Hit Rates in High-Throughput Screening and Molecular Descriptors." Journal of Biomolecular Screening 19, no. 5 (2013): 727–37. http://dx.doi.org/10.1177/1087057113499631.

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High-throughput screening (HTS) is widely used in the pharmaceutical industry to identify novel chemical starting points for drug discovery projects. The current study focuses on the relationship between molecular hit rate in recent in-house HTS and four common molecular descriptors: lipophilicity (ClogP), size (heavy atom count, HEV), fraction of sp3-hybridized carbons (Fsp3), and fraction of molecular framework ( fMF). The molecular hit rate is defined as the fraction of times the molecule has been assigned as active in the HTS campaigns where it has been screened. Beta-binomial statistical

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Siddell, Stuart G., Peter J. Walker, Elliot J. Lefkowitz, et al. "Binomial nomenclature for virus species: a consultation." Archives of Virology 165, no. 2 (2019): 519–25. http://dx.doi.org/10.1007/s00705-019-04477-6.

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AbstractThe Executive Committee of the International Committee on Taxonomy of Viruses (ICTV) recognizes the need for a standardized nomenclature for virus species. This article sets out the case for establishing a binomial nomenclature and presents the advantages and disadvantages of different naming formats. The Executive Committee understands that adopting a binomial system would have major practical consequences, and invites comments from the virology community before making any decisions to change the existing nomenclature. The Executive Committee will take account of these comments in dec

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Xu, Zhiyuan, and Wei Pan. "Binomial Mixture Model Based Association Testing to Account for Genetic Heterogeneity for GWAS." Genetic Epidemiology 40, no. 3 (2016): 202–9. http://dx.doi.org/10.1002/gepi.21954.

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Kulyk, Igor, Maryna Shevchenko, Anatolii Melnyk, and Tetyana Protasova. "Development of high-speed algorithm for binomial arithmetic addition." Information and control systems 2, no. 2(76) (2024): 25–31. http://dx.doi.org/10.15587/2706-5448.2024.301309.

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The object of research is the method and algorithm of arithmetic addition of binomial numbers generated by binary binomial counting systems. The lack of binomial arithmetic, in particular the operation of adding binary binomial numbers, in a certain way prevents their introduction into information systems and the construction of information and communication technologies based on them for combinatorial optimization, generation of combinatorial objects, data compression and encryption. In the framework of the proposed approach, instead of operating with binomial coefficients, only operations wi

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9

Warton, David I., and Francis K. C. Hui. "The arcsine is asinine: the analysis of proportions in ecology." Ecology 92, no. 1 (2011): 3–10. https://doi.org/10.5281/zenodo.13508754.

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(Uploaded by Plazi for the Bat Literature Project) The arcsine square root transformation has long been standard procedure when analyzing proportional data in ecology, with applications in data sets containing binomial and non-binomial response variables. Here, we argue that the arcsine transform should not be used in either circumstance. For binomial data, logistic regression has greater interpretability and higher power than analyses of transformed data. However, it is important to check the data for additional unexplained variation, i.e., overdispersion, and to account for it via the inclus

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Warton, David I., and Francis K. C. Hui. "The arcsine is asinine: the analysis of proportions in ecology." Ecology 92, no. 1 (2011): 3–10. https://doi.org/10.5281/zenodo.13508754.

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(Uploaded by Plazi for the Bat Literature Project) The arcsine square root transformation has long been standard procedure when analyzing proportional data in ecology, with applications in data sets containing binomial and non-binomial response variables. Here, we argue that the arcsine transform should not be used in either circumstance. For binomial data, logistic regression has greater interpretability and higher power than analyses of transformed data. However, it is important to check the data for additional unexplained variation, i.e., overdispersion, and to account for it via the inclus

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11

Warton, David I., and Francis K. C. Hui. "The arcsine is asinine: the analysis of proportions in ecology." Ecology 92, no. 1 (2011): 3–10. https://doi.org/10.5281/zenodo.13508754.

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(Uploaded by Plazi for the Bat Literature Project) The arcsine square root transformation has long been standard procedure when analyzing proportional data in ecology, with applications in data sets containing binomial and non-binomial response variables. Here, we argue that the arcsine transform should not be used in either circumstance. For binomial data, logistic regression has greater interpretability and higher power than analyses of transformed data. However, it is important to check the data for additional unexplained variation, i.e., overdispersion, and to account for it via the inclus

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12

Warton, David I., and Francis K. C. Hui. "The arcsine is asinine: the analysis of proportions in ecology." Ecology 92, no. 1 (2011): 3–10. https://doi.org/10.5281/zenodo.13508754.

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(Uploaded by Plazi for the Bat Literature Project) The arcsine square root transformation has long been standard procedure when analyzing proportional data in ecology, with applications in data sets containing binomial and non-binomial response variables. Here, we argue that the arcsine transform should not be used in either circumstance. For binomial data, logistic regression has greater interpretability and higher power than analyses of transformed data. However, it is important to check the data for additional unexplained variation, i.e., overdispersion, and to account for it via the inclus

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13

MARTZ, HARRY F., PAUL H. KVAM, and CORWIN L. ATWOOD. "UNCERTAINTY IN BINOMIAL FAILURES AND DEMANDS WITH APPLICATIONS TO RELIABILITY." International Journal of Reliability, Quality and Safety Engineering 03, no. 01 (1996): 43–57. http://dx.doi.org/10.1142/s0218539396000053.

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In estimating a plant-specific binomial probability of failure on demand p in probabilistic risk assessment, the corresponding number of binomial demands n or the observed number of failures x (or both) may be uncertain. We present several methods which account for uncertainties in both x and n when using Bayesian methods to estimate p. A beta prior distribution on p is considered. While the methods formally require the use of numerical integration, approximations are provided to implement them in practice. Several numerical examples are used to illustrate the methods, including a real-data ex

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14

Thakur, Shalu, Syed Hanief, and N. Chauhan. "Multi purpose use of plant species in the Kullu Valley of Himachal Pradesh (India)." Journal of Non-Timber Forest Products 14, no. 2 (2007): 139–46. http://dx.doi.org/10.54207/bsmps2000-2007-nqco49.

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The paper presents a brief account of the multiple uses of two hundred forty one species found in the Kullu valley of Himachal Pradesh. The botanical binomial of the plants, local name with the use(s) of the plant has been provided.

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15

Mielenz, Norbert, Joachim Spilke, and Eberhard von Borell. "Analysis of correlated count data using generalised linear mixed models exemplified by field data on aggressive behaviour of boars." Archives Animal Breeding 57, no. 1 (2015): 1–19. http://dx.doi.org/10.5194/aab-57-26-2015.

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Population-averaged and subject-specific models are available to evaluate count data when repeated observations per subject are present. The latter are also known in the literature as generalised linear mixed models (GLMM). In GLMM repeated measures are taken into account explicitly through random animal effects in the linear predictor. In this paper the relevant GLMMs are presented based on conditional Poisson or negative binomial distribution of the response variable for given random animal effects. Equations for the repeatability of count data are derived assuming normal distribution and lo

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Mielenz, Norbert, Joachim Spilke, and Eberhard von Borell. "Analysis of correlated count data using generalised linear mixed models exemplified by field data on aggressive behaviour of boars." Archives Animal Breeding 57, no. 1 (2015): 1–19. http://dx.doi.org/10.7482/0003-9438-57-026.

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Abstract. Population-averaged and subject-specific models are available to evaluate count data when repeated observations per subject are present. The latter are also known in the literature as generalised linear mixed models (GLMM). In GLMM repeated measures are taken into account explicitly through random animal effects in the linear predictor. In this paper the relevant GLMMs are presented based on conditional Poisson or negative binomial distribution of the response variable for given random animal effects. Equations for the repeatability of count data are derived assuming normal distribut

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17

Huo, Xiaoyan, Junqiang Leng, Qinzhong Hou, and Hao Yang. "A Correlated Random Parameters Model with Heterogeneity in Means to Account for Unobserved Heterogeneity in Crash Frequency Analysis." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 7 (2020): 312–22. http://dx.doi.org/10.1177/0361198120922212.

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Unobserved heterogeneity induced by omitted variables is a major challenge in developing reliable road safety models. In recent years, the random parameters negative binomial (RPNB) model has been used frequently in crash frequency analysis to account for unobserved heterogeneity. However, the majority of past studies of the RPNB model assumed that there was no correlation between different sources of unobserved heterogeneity, which is not always true given the complex interactions of safety factors. Compared with the RPNB model, a more flexible random parameters model that is the correlated r

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18

Yusuf, Oyindamola B., Rotimi Felix Afolabi, and Ayoola S. Ayoola. "Modelling Excess Zeros in Count Data with Application to Antenatal Care Utilisation." International Journal of Statistics and Probability 7, no. 3 (2018): 22. http://dx.doi.org/10.5539/ijsp.v7n3p22.

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Poisson and negative binomial regression models have been used as a standard for modelling count outcomes; but these methods do not take into account the problems associated with excess zeros. However, zero-inflated and hurdle models have been proposed to model count data with excess zeros. The study therefore compared the performance of Zero-inflated (Zero-inflated Poisson (ZIP) and Zero-inflated negative binomial (ZINB)), and hurdle (Hurdle Poisson (HP) and Hurdle negative binomial (HNB)) models in determining the factors associated with the number of Antenatal Care (ANC) visits in Nigeria.

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19

Fatimata, LO, BA Demba Bocar, and DIOP Aba. "ASYMPTOTIC PROPERTIES IN THE PROBIT-ZERO-INFLATED BINOMIAL REGRESSION MODEL." Journal of Computer Science and Applied Mathematics 3, no. 2 (2021): 68–81. http://dx.doi.org/10.37418/jcsam.3.2.3.

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Zero-inflated regression models have had wide application recently and have provenuseful in modeling data with many zeros. Zero-inflated Binomial (ZIB) regression model is an extension of the ordinary binomial distribution that takes into account the excess of zeros. In comparing the probit model to the logistic model, many authors believe that there is little theoretical justification in choosing one formulation over the other in most circumstances involving binary responses. The logit model is considered to be computationally simpler but it is based on a more restrictive assumption of error

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20

Andrade e Silva, J. M., and M. de Lourdes Centeno. "RATEMAKING OF DEPENDENT RISKS." ASTIN Bulletin 47, no. 3 (2017): 875–94. http://dx.doi.org/10.1017/asb.2017.16.

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AbstractWe start by describing how, in some cases, we can use variance-related premium principles in ratemaking, when the claim numbers and individual claim amounts are independent. We use quasi-likelihood generalized linear models, under the assumption that the variance function is a power function of the mean of the underlying random variable. We extend this approach to the cases where the claim numbers are correlated. Some alternatives to deal with dependent risks are presented, taking explicitly into account overdispersion. We present regression models covering the bivariate Poisson, the g

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21

Sherwani, Rehan Ahmad Khan, Sadia Iqbal, Shumaila Abbas, Muhammad Aslam, and Ali Hussein AL-Marshadi. "A New Neutrosophic Negative Binomial Distribution: Properties and Applications." Journal of Mathematics 2021 (November 26, 2021): 1–12. http://dx.doi.org/10.1155/2021/2788265.

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Many problems in real life exist that are full of confusion, vagueness, and ambiguity. The quantification of such issues in a scientific way is the need of time. The negative binomial distribution is an important discrete probability distribution from the account of classical probability distribution theory. The distribution was used to study the chance of kth success in n trials before n − 1 failures for crisp data. The literature lacks in dealing with the situations for interval-valued data under negative binomial distribution. In this research, the neutrosophic negative binomial distributio

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Abiodun Obaromi, Davies, and Samuel Olorunfemi Adams. "BAYESIAN MODELLING OF TUBERCULOSIS PREVALENCE IN SOUTH AFRICA. AN OVER-DISPERSION STUDIES." JOURNAL OF HEALTHCARE IN DEVELOPING COUNTRIES 3, no. 2 (2023): 28–32. http://dx.doi.org/10.26480/jhcdc.02.2023.28.32.

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Introduction: To account for over-dispersion in the impact of population density, number of schools, and average household size on tuberculosis prevalence in South Africa’s Eastern Cape Province, this study compared robust count regression models with a Poisson regression model. Methods: The prevalence of tuberculosis in the province of Eastern Cape in South Africa in 2022 served as the basis for this study’s data. Various models, including the Poisson regression model; Summed up Poisson and Negative Binomial Relapse were used within the sight of over-scattering. Results: It was seen that Pois

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Sharker, Yushuf, and Eben Kenah. "Estimating and interpreting secondary attack risk: Binomial considered biased." PLOS Computational Biology 17, no. 1 (2021): e1008601. http://dx.doi.org/10.1371/journal.pcbi.1008601.

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The household secondary attack risk (SAR), often called the secondary attack rate or secondary infection risk, is the probability of infectious contact from an infectious household memberAto a given household memberB, where we define infectious contact to be a contact sufficient to infectBif he or she is susceptible. Estimation of the SAR is an important part of understanding and controlling the transmission of infectious diseases. In practice, it is most often estimated using binomial models such as logistic regression, which implicitly attribute all secondary infections in a household to the

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Dai, Lin, Michael D. Sweat, and Mulugeta Gebregziabher. "Modeling excess zeros and heterogeneity in count data from a complex survey design with application to the demographic health survey in sub-Saharan Africa." Statistical Methods in Medical Research 27, no. 1 (2016): 208–20. http://dx.doi.org/10.1177/0962280215626608.

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Purpose To show a novel application of a weighted zero-inflated negative binomial model in modeling count data with excess zeros and heterogeneity to quantify the regional variation in HIV-AIDS prevalence in sub-Saharan African countries. Methods Data come from latest round of the Demographic and Health Survey (DHS) conducted in three countries (Ethiopia-2011, Kenya-2009 and Rwanda-2010) using a two-stage cluster sampling design. The outcome is an aggregate count of HIV cases in each census enumeration area of each country. The outcome data are characterized by excess zeros and heterogeneity d

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Tsou, Tsung-Shan, and Wei-Cheng Hsiao. "Inference about binocular sensitivity and specificity of screening tests for paired organs." Statistical Methods in Medical Research 29, no. 7 (2019): 1950–59. http://dx.doi.org/10.1177/0962280219880310.

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Recently Perera et al. introduced two new binocular accuracy measures to evaluate diagnostic tests for paired organs. They adopted the Gaussian copula model to account for correlation between fellow eyes. As the measures are functions of several joint probabilities and due to the nature of the joint models, variations of the estimates for the two new measures were assessed via bootstrapping. We provide a different approach to inference about the two interesting and innovative measures. In our opinion, when patients are independent, the binomial models suffice for inference about the parameters

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Chen, Cathy WS, and K. Khamthong. "Bayesian modelling of nonlinear negative binomial integer-valued GARCHX models." Statistical Modelling 20, no. 6 (2019): 537–61. http://dx.doi.org/10.1177/1471082x19845541.

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This study focuses on modelling dengue cases in northeastern Thailand through two meteorological covariates: cumulative rainfall and average maximum temperature. We propose two nonlinear integer-valued GARCHX models (Markov switching and threshold specification) with a negative binomial distribution, as they take into account the stylized features of weekly dengue haemorrhagic fever cases, which contain nonlinear dynamics, lagged dependence, overdispersion, consecutive zeros and asymmetric effects of meteorological covariates. We conduct parameter estimation and one-step-ahead forecasting for

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Azzolina, Danila, Paola Berchialla, Silvia Bressan, Liviana Da Dalt, Dario Gregori, and Ileana Baldi. "A Bayesian Sample Size Estimation Procedure Based on a B-Splines Semiparametric Elicitation Method." International Journal of Environmental Research and Public Health 19, no. 21 (2022): 14245. http://dx.doi.org/10.3390/ijerph192114245.

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Sample size estimation is a fundamental element of a clinical trial, and a binomial experiment is the most common situation faced in clinical trial design. A Bayesian method to determine sample size is an alternative solution to a frequentist design, especially for studies conducted on small sample sizes. The Bayesian approach uses the available knowledge, which is translated into a prior distribution, instead of a point estimate, to perform the final inference. This procedure takes the uncertainty in data prediction entirely into account. When objective data, historical information, and liter

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Mathews, Joseph, Sumangal Bhattacharya, Sumen Sen, and Ishapathik Das. "Multiple inflated negative binomial regression for correlated multivariate count data." Dependence Modeling 10, no. 1 (2022): 290–307. http://dx.doi.org/10.1515/demo-2022-0149.

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Abstract This article aims to provide a method of regression for multivariate multiple inflated count responses assuming the responses follow a negative binomial distribution. Negative binomial regression models are common in the literature for modeling univariate and multivariate count data. However, two problems commonly arise in modeling such data: choice of the multivariate form of the underlying distribution and modeling the zero-inflated structure of the data. Copula functions have become a popular solution to the former problem because they can model the response variables’ dependence s

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Lusk, Edward J. "Binomial Count Information: How Do the Usual Approximations Fare?" Journal of Economics and Technology Research 2, no. 1 (2021): p1. http://dx.doi.org/10.22158/jetr.v2n1p1.

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Focus Decision-making is often aided by examining False Positive Error-risk profiles [FPEs]. In this research report, the decision-making jeopardy that one invites by eschewing the Exact factorial-binomial Probability-values used to form the FPEs in favor of: (i) Normal Approximations [NA], or (ii) Continuity-Corrected Normal Approximations [CCNA] is addressed. Results Referencing an audit context where testing sample sizes for Re-Performance & Re-Calculation protocols are, by economic necessity, in the range of 20 to 100 account items, there are indications that audit decisions would bene

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Dil, Ayhan, and Erkan Muniroğlu. "Applications of derivative and difference operators on some sequences." Applicable Analysis and Discrete Mathematics, no. 00 (2020): 30. http://dx.doi.org/10.2298/aadm190908030d.

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In this study, depending on the upper and the lower indices of the hyperharmonic number h(r), nonlinear recurrence relations are obtained. It is shown that generalized harmonic numbers and hyperharmonic numbers can be obtained from derivatives of the binomial coefficients. Taking into account of difference and derivative operators, several identities of the harmonic and hyperharmonic numbers are given. Negative-ordered hyperharmonic numbers are defined and their alternative representations are given.

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Diao, Ousmane, P. A. Absil, and Mouhamadou Diallo. "Generalized Linear Models to Forecast Malaria Incidence in Three Endemic Regions of Senegal." International Journal of Environmental Research and Public Health 20, no. 13 (2023): 6303. http://dx.doi.org/10.3390/ijerph20136303.

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Affecting millions of individuals yearly, malaria is one of the most dangerous and deadly tropical diseases. It is a major global public health problem, with an alarming spread of parasite transmitted by mosquito (Anophele). Various studies have emerged that construct a mathematical and statistical model for malaria incidence forecasting. In this study, we formulate a generalized linear model based on Poisson and negative binomial regression models for forecasting malaria incidence, taking into account climatic variables (such as the monthly rainfall, average temperature, relative humidity), o

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Turechek, William W., and Walter F. Mahaffee. "Spatial Pattern Analysis of Hop Powdery Mildew in the Pacific Northwest: Implications for Sampling." Phytopathology® 94, no. 10 (2004): 1116–28. http://dx.doi.org/10.1094/phyto.2004.94.10.1116.

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The spatial pattern of hop powdery mildew was characterized using 3 years of disease incidence data collected in commercial hop yards in the Pacific Northwest. Yards were selected randomly from yards with a history of powdery mildew, and two to five rows were selected for sampling within each yard. The proportion of symptomatic leaves out of 10 was determined from each of N sampling units in a row. The binomial and the beta-binomial frequency distributions were fit to the N sampling units observed in each row and to ΣN sampling units observed in each yard. Distributional analyses indicated tha

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Chen, Jianguo, Lin Liu, Luzi Xiao, Chong Xu, and Dongping Long. "Integrative Analysis of Spatial Heterogeneity and Overdispersion of Crime with a Geographically Weighted Negative Binomial Model." ISPRS International Journal of Geo-Information 9, no. 1 (2020): 60. http://dx.doi.org/10.3390/ijgi9010060.

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Negative binomial (NB) regression model has been used to analyze crime in previous studies. The disadvantage of the NB model is that it cannot deal with spatial effects. Therefore, spatial regression models, such as the geographically weighted Poisson regression (GWPR) model, were introduced to address spatial heterogeneity in crime analysis. However, GWPR could not account for overdispersion, which is commonly observed in crime data. The geographically weighted negative binomial model (GWNBR) was adopted to address spatial heterogeneity and overdispersion simultaneously in crime analysis, bas

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Žunac, Ana Globočnik, Sanja Zlatić, and Krešimir Buntak. "Freelancing in Croatia: Differences among Regions, Company Sizes, Industries and Markets." Business Systems Research Journal 12, no. 1 (2021): 109–23. http://dx.doi.org/10.2478/bsrj-2021-0008.

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Abstract Background: Freelancers have a significant impact on economic growth due to their specific skills that are nowadays often used as complements to the regular full-time workforce of a company, not as their competition. Objectives: The study aims to investigate employers’ attitudes towards the employment of freelancers in Croatia, taking into account the place of establishment, the operational market, the size, and the industry of the organization hiring freelancers. Methods/Approach: Differences among organizations according to their attitudes towards freelancers are analyzed by multipl

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Albers, Willem. "Risk-Adjusted Control Charts for Health Care Monitoring." International Journal of Mathematics and Mathematical Sciences 2011 (2011): 1–16. http://dx.doi.org/10.1155/2011/895273.

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Attribute data from high-quality processes can be monitored effectively by deciding on whether or not to stop at each time where failures have occurred. The smaller the degree of change in failure rate during out of control one wants to be optimally protected against, the larger thershould be. Under homogeneity, the distribution involved is negative binomial. However, in health care monitoring, (groups of) patients will often belong to different risk categories. In the present paper, we will show how information about category membership can be used to adjust the basic negative binomial charts

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Hsu, Chen-Yang, Ming-Fang Yen, Anssi Auvinen, Yueh-Hsia Chiu, and Hsiu-Hsi Chen. "Bayesian negative-binomial-family-based multistate Markov model for the evaluation of periodic population-based cancer screening considering incomplete information and measurement errors." Statistical Methods in Medical Research 27, no. 8 (2016): 2519–39. http://dx.doi.org/10.1177/0962280216682284.

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Population-based cancer screening is often asked but hardly addressed by a question: “How many rounds of screening are required before identifying a cancer of interest staying in the pre-clinical detectable phase (PCDP)?” and also a similar one related to the number of screens required for stopping screening for the low risk group. It can be answered by using longitudinal follow-up data on repeated rounds of screen, namely periodic screen, but such kind of data are rather complicated and fraught with intractable statistical properties including correlated multistate outcomes, unobserved and in

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Tzougas, George, Spyridon Vrontos, and Nicholas Frangos. "OPTIMAL BONUS-MALUS SYSTEMS USING FINITE MIXTURE MODELS." ASTIN Bulletin 44, no. 2 (2014): 417–44. http://dx.doi.org/10.1017/asb.2013.31.

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AbstractThis paper presents the design of optimal Bonus-Malus Systems using finite mixture models, extending the work of Lemaire (1995; Lemaire, J. (1995) Bonus-Malus Systems in Automobile Insurance. Norwell, MA: Kluwer) and Frangos and Vrontos (2001; Frangos, N. and Vrontos, S. (2001) Design of optimal bonus-malus systems with a frequency and a severity component on an individual basis in automobile insurance. ASTIN Bulletin, 31(1), 1–22). Specifically, for the frequency component we employ finite Poisson, Delaporte and Negative Binomial mixtures, while for the severity component we employ fi

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Šergo, Zdravko, Jasmina Gržinić, and Tatiana Zanini Gavranić. "A Cross-Countries Analysis of Biodiversity Loss and Tourism Demand." Tourism 70, no. 4 (2022): 642–55. http://dx.doi.org/10.37741/t.70.4.7.

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The purpose of this study is to examine the relationship between tourism arrivals and the global incidence of biodiversity loss, measured by the probability of the extinction of species of plants, mammals, birds, and fish while controlling for other relevant covariates: protected areas, agrarian production's share in GDP, crop production, energy intensity, and population levels. This study is designed around cross-sectional data from 2018 in 178 countries across the world. The biodiversity loss–tourism arrivals nexus is assessed in this study by the count model estimation. We adopted negative

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Efthimiou, Orestis, Dimitris Mavridis, Adriani Nikolakopoulou, et al. "A model for meta-analysis of correlated binary outcomes: The case of split-body interventions." Statistical Methods in Medical Research 28, no. 7 (2017): 1998–2014. http://dx.doi.org/10.1177/0962280217746436.

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In several areas of clinical research, it is common for trials to assign different sites of the participants’ bodies to different interventions. For example, a randomized controlled trial comparing surgical techniques for correcting myopia may randomize each eye of a participant to a different operation. Under such bilateral (‘split-body’) interventions, the observations from each participant are correlated. It is challenging to account for these correlations at the meta-analysis level, especially when the outcome is rare. Here, we present a meta-analysis model based on the bivariate binomial

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Renaldo, Nicholas, Sudarno Sudarno, Marice Br Hutahuruk, Suyono Suyono, and Suhardjo Suhardjo. "INTERNAL CONTROL SYSTEM ANALYSIS ON ACCOUNT RECEIVABLES IN E-RN TRADING BUSINESS." Accounting Journal of Binaniaga 6, no. 2 (2021): 81–92. http://dx.doi.org/10.33062/ajb.v6i2.455.

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Large bad debt will disrupt cash flow in the business. This study aims to determine how the implementation of COSO-based internal control in the E-RN Trading Business. This research was conducted in Pekanbaru City, Riau. The data used in this study are primary data and secondary data. Collecting data using observation techniques, interviews, literature studies, and questionnaires. The research method uses descriptive analysis, binomial test, and sign test. The test results show that the control environment, risk assessment, and supervision and monitoring have not been effective in the E-RN Tra

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Sultana, Nasrin, and Wasimul Bari. "Analyzing Overdispersed Antenatal Care Visits of Pregnant Women in Bangladesh: Negative Binomial Regression Model." Dhaka University Journal of Science 65, no. 2 (2017): 133–37. http://dx.doi.org/10.3329/dujs.v65i2.54521.

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The main aim of this paper is to find out the potential determinants of antenatal care visits of women in Bangladesh during their pregnancy. The data set was extracted from Bangladesh Demographic and Health Survey, 2014 and overdispersion is found to be present in the data set. To take the overdispersion into account, negative binomial regression model has been used. A number of socioeconomic and demographic variables were observed to have significant impact on the antenatal care visit. Results are explained using incidence rate ratio. Dhaka Univ. J. Sci. 65(2): 133-137, 2017 (July)

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Pittman, Brian, Eugenia Buta, Suchitra Krishnan-Sarin, Stephanie S. O’Malley, Thomas Liss, and Ralitza Gueorguieva. "Models for Analyzing Zero-Inflated and Overdispersed Count Data: An Application to Cigarette and Marijuana Use." Nicotine & Tobacco Research 22, no. 8 (2018): 1390–98. http://dx.doi.org/10.1093/ntr/nty072.

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Abstract Introduction This article describes different methods for analyzing counts and illustrates their use on cigarette and marijuana smoking data. Methods The Poisson, zero-inflated Poisson (ZIP), hurdle Poisson (HUP), negative binomial (NB), zero-inflated negative binomial (ZINB), and hurdle negative binomial (HUNB) regression models are considered. The different approaches are evaluated in terms of the ability to take into account zero-inflation (extra zeroes) and overdispersion (variance larger than expected) in count outcomes, with emphasis placed on model fit, interpretation, and choo

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Inlow, Alana R. "Does Land Use Matter? Understanding Homicide Counts Beyond the Effects of Social Disorganization." Homicide Studies 24, no. 4 (2019): 311–32. http://dx.doi.org/10.1177/1088767919884672.

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This study assesses the relationship between land use, measured as percent zoning designation per square kilometer in a census tract, and homicide counts in Portland, Oregon, while controlling for other neighborhood characteristics. Negative binomial models are implemented to account for the overdispersed homicide count indicator. Results suggest that some land use variables—specifically, mixed-use residential (positive association) and single-family residential (negative association)—have significant predictive value for homicide counts beyond neighborhood characteristics and socioeconomic va

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Ramacciato, Giovanni, Francesco D'Angelo, Rossella Baldini, et al. "Hepatocellular Carcinomas and Primary Liver Tumors as Predictive Factors for Postoperative Mortality after Liver Resection: A Meta-Analysis of More than 35,000 Hepatic Resections." American Surgeon 78, no. 4 (2012): 456–67. http://dx.doi.org/10.1177/000313481207800438.

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Liver resection is considered the therapeutic gold standard for primary and metastatic liver neoplasms. The reduction of postoperative complications and mortality has resulted in a more aggressive approach to hepatic malignancies. For the most part, results of liver surgery have been published by highly experienced institutions, but the observations of highly specialized units results may not reflect the current status of hepatic surgery, underestimating mortality and complications. The objective of this study is to evaluate morbidity and mortality as a result of liver resection for primary an

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Eied, A. A. "Emission spectrum for a multi-photon Ξ-type three-level atom driven by a binomial field with nonlinearities". Canadian Journal of Physics 93, № 11 (2015): 1375–81. http://dx.doi.org/10.1139/cjp-2014-0602.

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A treatment of a multi-photon Ξ-type three-level atom interacting with a single-mode field in a cavity, taking explicitly the existence of forms of nonlinearities of both the field and the intensity-dependent atom–field coupling into account. Analytical expressions of the emission spectrum are presented using the dressed states of the system. The characteristics of the emission spectrum, considering the field to be initially in a binomial state, are exhibited. The effects of the photon multiplicities, mean number of photons, detuning, and the nonlinearities on the spectrum are investigated.

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Burbano Vallejo, Edy Lorena, Geovanny Castro Aristizabal, and Maribel Castillo Caicedo. "What determines own-account work in Colombia? Some empirical evidence for the years 2010 and 2013." Revista de Métodos Cuantitativos para la Economía y la Empresa 32 (December 1, 2021): 274–99. http://dx.doi.org/10.46661/revmetodoscuanteconempresa.3978.

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The main objective of this paper is to analyze the effect of education, age, access to ICTs and physical and financial assets, as well as other personal and socio-economic characteristics on the probability of being a formal or informal own-account worker. In order to achieve this purpose, information will be used at the urban level for the twenty-one main cities in Colombia from the Great Integrated Household Survey 2010 (GISH), by the National Administrative Department of Statistics (DANE) and the Colombian Longitudinal Survey of the University of the Andes 2013 (CLS). Based on these data, m

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Van der Heyden, H., M. Lefebvre, L. Roberge, L. Brodeur, and O. Carisse. "Spatial Pattern of Strawberry Powdery Mildew (Podosphaera aphanis) and Airborne Inoculum." Plant Disease 98, no. 1 (2014): 43–54. http://dx.doi.org/10.1094/pdis-10-12-0946-re.

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The relationship between strawberry powdery mildew and airborne conidium concentration (ACC) of Podosphaera aphanis was studied using data collected from 2006 to 2009 in 15 fields, and spatial pattern was described using 2 years of airborne inoculum and disease incidence data collected in fields planted with the June-bearing strawberry (Fragaria × ananassa) cultivar Jewel. Disease incidence, expressed as the proportion of diseased leaflets, and ACC were monitored in fields divided into 3 × 8 grids containing 24 100 m2 quadrats. Variance-to-mean ratio, index of dispersion, negative binomial dis

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Sharp, Cecil B., and Arthur J. Hilliker. "Measuring segregation distortion in Drosophila melanogaster." Canadian Journal of Genetics and Cytology 28, no. 3 (1986): 395–400. http://dx.doi.org/10.1139/g86-058.

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Segregation distorter (SD) chromosomes are preferentially transmitted to offspring of a male heterozygous for SD and SD+ chromosomes, as a result of the dysfunction of SD+-bearing sperm. Segregation distortion is measured by the segregation ratio k, the proportion of progeny bearing the SD chromosome. However, k is an ordinal measure and is therefore of only limited usefulness. A transformation has been developed (the k-probit transformation) that has been used to provide an interval method of measuring segregation distortion. This method has not been adequately tested as previous comparisons

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Gilis, Jeroen, Kristoffer Vitting-Seerup, Koen Van den Berge, and Lieven Clement. "satuRn: Scalable analysis of differential transcript usage for bulk and single-cell RNA-sequencing applications." F1000Research 10 (August 8, 2022): 374. http://dx.doi.org/10.12688/f1000research.51749.2.

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Alternative splicing produces multiple functional transcripts from a single gene. Dysregulation of splicing is known to be associated with disease and as a hallmark of cancer. Existing tools for differential transcript usage (DTU) analysis either lack in performance, cannot account for complex experimental designs or do not scale to massive single-cell transcriptome sequencing (scRNA-seq) datasets. We introduce satuRn, a fast and flexible quasi-binomial generalized linear modelling framework that is on par with the best performing DTU methods from the bulk RNA-seq realm, while providing good f

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Gilis, Jeroen, Kristoffer Vitting-Seerup, Koen Van den Berge, and Lieven Clement. "satuRn: Scalable analysis of differential transcript usage for bulk and single-cell RNA-sequencing applications." F1000Research 10 (May 11, 2021): 374. http://dx.doi.org/10.12688/f1000research.51749.1.

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Alternative splicing produces multiple functional transcripts from a single gene. Dysregulation of splicing is known to be associated with disease and as a hallmark of cancer. Existing tools for differential transcript usage (DTU) analysis either lack in performance, cannot account for complex experimental designs or do not scale to massive scRNA-seq data. We introduce satuRn, a fast and flexible quasi-binomial generalized linear modelling framework that is on par with the best performing DTU methods from the bulk RNA-seq realm, while providing good false discovery rate control, addressing com

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