Search Results

Household Vulnerability and Resilience in Tunisia: Evidence Using Fuzzy Sets and Multidimensional Approach,
Khaled Nasri and Besma Belhadj, in Studies in Microeconomics (2024)
Keywords: Vulnerability; multidimensional poverty; fuzzy sets; counting approach

Principled network reliability approximation: A counting-based approach,
R. Paredes, Dueñas-Osorio, L., K.S. Meel and M.Y. Vardi, in Reliability Engineering and System Safety (2019)
Keywords: Network reliability; FPRAS; PAC; Relative variance; Uncertainty; Model counting; Satisfiability;

COUNTS WITH AN ENDOGENOUS BINARY REGRESSOR: A SERIES EXPANSION APPROACH,
Andres Romeu and Marcos Vera-Hernandez, from Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie) (2004)
Keywords: Count data, Polynominal Poisson Expansions, Flexible Functional Form.

Experimentally Validated Coulomb Counting Method for Battery State-of-Charge Estimation under Variable Current Profiles,
Bachir Zine, Haithem Bia, Amel Benmouna, Mohamed Becherif and Mehroze Iqbal, in Energies (2022)
Keywords: state of charge; electric vehicle; coulomb counting approach; battery generic model

Counting poverty orderings and deprivation curves,
Casilda Lasso de la Vega, from ECINEQ, Society for the Study of Economic Inequality (2009)
Keywords: Multidimensional poverty measurement, deprivation, counting approach, dimension adjusted headcount ratio, ordinal data

Social evaluation of deprivation count distributions,
Rolf Aaberge and Andrea Brandolini, from ECINEQ, Society for the Study of Economic Inequality (2014)
Keywords: Multidimensional deprivation, counting approach, partial orderings, measures of deprivation, principles of association rearrangements.

A new approach to truncated regression for count data,
Ana María Martínez-Rodríguez, Antonio Conde-Sánchez and María José Olmo-Jiménez, in AStA Advances in Statistical Analysis (2019)
Keywords: Count data, Hurdle model, Negative binomial regression, Poisson regression, Truncated models

LettuceNet: A Novel Deep Learning Approach for Efficient Lettuce Localization and Counting,
Aowei Ruan, Mengyuan Xu, Songtao Ban, Shiwei Wei, Minglu Tian, Haoxuan Yang, Annan Hu, Dong Hu and Linyi Li, in Agriculture (2024)
Keywords: lettuce; localization; counting; weak supervision; deep learning

Estimating the carbon dioxide emission levels of G7 countries: A count data approach,
Siele Jean Tuo, Chang Li, Ettien Fulgence Brou, Diby Francois Kassi and Yobouet Thierry Gnangoin, in Energy & Environment (2024)
Keywords: G7; count data models; energy; carbon emissions

The Determinants of Health Care Utilization in Portugal: An Approach with Count Data Models,
João Cotter Salvado, in Swiss Journal of Economics and Statistics (SJES) (2008)
Keywords: health care utilization; count data models; Portugal

‘Adopt a Hypothetical Pup’: A Count Data Approach to the Valuation of Wildlife,
Roberto Martinez-Espineira, in Environmental & Resource Economics (2007)
Keywords: contingent valuation, count data, coyotes, wildlife, willingness to pay, zero-inflated count data models, Q20, Q26,

The dimension, nature and distribution of economic insecurity in European countries: A multidimensional approach,
Olga Cantó, Carmelo García-Pérez and Marina Romaguera-de-la-Cruz, in Economic Systems (2020)
Keywords: Economic insecurity; Welfare regimes; Counting approach; Multidimensional index; European countries;

The dimension, nature and distribution of economic insecurity in European countries: A multidimensional approach,
Olga Cantó, Carmelo García-Pérez and Marina Romaguera-de-la-Cruz, from ECINEQ, Society for the Study of Economic Inequality (2019)
Keywords: economic insecurity, welfare regimes, counting approach, multidimensional index, European countries.

Dynamic programming approach to achieve higher view-count for YouTube videos,
Mohammed Shahid Irshad, Adarsh Anand and Sankar Kumar Roy, in International Journal of Operational Research (2023)
Keywords: budget allocation; dynamic programming; view-count; web series; YouTube.

A robust and efficient citrus counting approach for large-scale unstructured orchards,
Zhenhui Zheng, Meng Wu, Ling Chen, Chenglin Wang, Juntao Xiong, Lijiao Wei, Xiaoman Huang, Shuo Wang, Weihua Huang and Dongjie Du, in Agricultural Systems (2024)
Keywords: Fruit counting; Online; Image enhancement; UAV; Multiple object tracking;

Determinants of Antenatal Care Utilisation in India: A Count Data Modelling Approach,
Arvind Kumar Yadav, Susanta Nag, Pabitra Kumar Jena and Kirtti Paltasingh, in Journal of Development Policy and Practice (2021)
Keywords: India; ANC visits; count data; zero-inflated regression model; NFHS

Adopt a hypothetical pup’: A count data approach to the valuation of wildlife,
Roberto Martinez-Espineira, from University Library of Munich, Germany (2004)
Keywords: coyotes, wildlife, contingent valuation, count data, zero- inflation

Adopt a hypothetical pup: A count data approach to the valuation of wildlife,
Roberto Martinez-Espineira, from University Library of Munich, Germany (2004)
Keywords: coyotes, wildlife, contingent valuation, count data, zero- inflation

The research guarantors of scientific papers and the output counting: a promising new approach,
Félix Moya-Anegón, Vicente P. Guerrero-Bote, Lutz Bornmann and Henk F. Moed, in Scientometrics (2013)
Keywords: Corresponding author, Scientific excellence, Research guarantor, Output counting

Ranking authors using fractional counting of citations: An axiomatic approach,
Denis Bouyssou and Thierry Marchant, in Journal of Informetrics (2016)
Keywords: Bibliometric ranking of authors; Field normalization; Fractional counting of citations; Axiomatization;

Demand and Welfare Effects in Recreational Travel Models: A Bivariate Count Data Approach,
Jörgen Hellström and Jonas Nordström, from Umeå University, Department of Economics (2005)
Keywords: demand analysis; welfare effects; count data; bivariate zero inflation

Approaches to Solve the Problem of Double-Counting Scientific Articles When Evaluating the Effectiveness of Scientific Organizations,
Dmitry Zolotarev, in Science Governance and Scientometrics Journal (2015)
Keywords: Scientific article counting methods, proportional fractional counting, equal fractional counting, Web of Science, combinatorics

Approaches to Solve the Problem of Double-Counting Scientific Articles When Evaluating the Effectiveness of Scientific Organizations: Roundtable Discussion,
Dmitry Zolotarev, in Science Governance and Scientometrics Journal (2015)
Keywords: Scientific article counting methods, proportional fractional counting, equal fractional counting, Web of Science, combinatorics

The influences of counting methods on university rankings based on paper count and citation count,
Chi-Shiou Lin, Mu-Hsuan Huang and Dar-Zen Chen, in Journal of Informetrics (2013)
Keywords: Counting method; University ranking; Research evaluation; Paper count; Citation count;

Effects of Informal Family Care on Formal Health Care: Zero-Inflated Endogenous Count for Censored Response,
Myoung-jae Lee and Y-S Kim, from HEDG, c/o Department of Economics, University of York (2011)
Keywords: informal health care, formal health care, count variable, zero-inflated Poisson, control function approach, censored model.

A counting process approach to the regression analysis of grouped survival data,
Ian W. McKeague, in Stochastic Processes and their Applications (1988)
Keywords: multivariate counting processes martingale methods censoring weighted least squares additive risk models grouped survival data

Semi-parametric approach for modelling overdispersed count data with application to Industry 4.0,
S. Bonnini, M. Borghesi and M. Giacalone, in Socio-Economic Planning Sciences (2024)
Keywords: Generalized linear model; Count data; Overdispersion; Permutation test; Industry 4.0; Public policy;

Ranking authors using fractional counting of citations: An axiomatic approach,
Denis Bouyssou and Thierry Marchant, from HAL (2016)
Keywords: Rangement,Normalisation,Bibliométrie,Bibliometric ranking of authors,Field normalization,Fractional counting of citations,Axiomatization

An Advanced Deep Learning Approach for Multi-Object Counting in Urban Vehicular Environments,
Ahmed Dirir, Henry Ignatious, Hesham Elsayed, Manzoor Khan, Mohammed Adib, Anas Mahmoud and Moatasem Al-Gunaid, in Future Internet (2021)
Keywords: object counting; object detection; multi-object tracking; deep learning; YOLO; correlation filters

A Critical Look at Coulomb Counting Approach for State of Charge Estimation in Batteries,
Kiarash Movassagh, Arif Raihan, Balakumar Balasingam and Krishna Pattipati, in Energies (2021)
Keywords: battery management system; state of charge; Coulomb counting; battery capacity; measurement errors; battery impedance; equivalent circuit model

Predicting plug loads with occupant count data through a deep learning approach,
Zhe Wang, Tianzhen Hong and Mary Ann Piette, in Energy (2019)
Keywords: Plug loads; Prediction; Predictive control; Long short term memory network; Occupant count; Deep learning;

A mixture model-based nonparametric approach to estimating a count distribution,
Chew-Seng Chee, in Computational Statistics & Data Analysis (2017)
Keywords: Count data; Nonparametric minimum power divergence estimation; Poisson mixture model; Power divergence family;

The Demand of Car Rentals: a Microeconometric Approach with Count Models and Survey Data,
António Menezes and Ainura Uzagalieva, in Review of Economic Analysis (2013)
Keywords: Count Data Models, Survey Data, Tourism, Market Demand, Car Rentals, Tax Rates

A Bayesian approach for semiparametric regression analysis of panel count data,
Jianhong Wang and Xiaoyan Lin, in Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data (2020)
Keywords: Monotone splines, Nonhomogeneous Poisson process, Panel count data, Proportional mean model, Semiparametric regression

Simultaneous Confidence Band Approach for Comparison of COVID-19 Case Counts,
Q. Shao, in Statistics in Biosciences (2023)
Keywords: COVID-19, Case counts, B-splines, Simultaneous confidence band, Autoregressive moving-average time series

A Generalized Cross-Entropy Approach for Modeling Spatially Correlated Counts,
Avinash Bhati, in Econometric Reviews (2008)
Keywords: Count outcomes, Generalized Cross-Entropy estimation, Homicide rate, Spatial processes, Unobserved heterogeneity,

Exploring Multidimensional Well-Being in Switzerland: Comparing Three Synthesizing Approaches,
Katia Iglesias, Christian Suter, Tugce Beycan and B. P. Vani, in Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement (2017)
Keywords: Confirmatory factor analysis, Alkire and Foster counting approach, Posetic approach, Aggregation, Weighting, Deprivation, Quality of life

A new approach to constructing probability distributions of fractional counting processes,
Nick Laskin, in Chaos, Solitons & Fractals (2024)
Keywords: Fractional counting process; Three-parameter generalized Mittag-Leffler function; Waiting time distribution; Bell polynomials; Stirling numbers; Quantum coherent states;

Some Considerations on Well-Being Evaluation Procedures, Taking the Cue from “Exploring Multidimensional Well-Being in Switzerland: Comparing Three Synthesizing Approaches”,
Marco Fattore and Filomena Maggino, in Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement (2018)
Keywords: Well-being, Confirmatory factor analysis, Alkire–Foster counting approach, Partial order approach

Publication counting methods for a national research evaluation exercise,
Przemyslaw Korytkowski and Emanuel Kulczycki, in Journal of Informetrics (2019)
Keywords: Evaluation; Counting method; Whole counting; Fractional counting; Complete counting;

Predicted probabilities for count models,
J. Scott Long and Jeremy Freese, in Stata Journal (2001)
Keywords: predicted probabilities, count models

Count (and count-like) data in finance,
Jonathan B. Cohn, Zack Liu and Malcolm I. Wardlaw, in Journal of Financial Economics (2022)
Keywords: Empirical methods; Count data; Poisson regression;

A New Class of Counting Distributions Embedded in the Lee–Carter Model for Mortality Projections: A Bayesian Approach,
Yaser Awad, Shaul K. Bar-Lev and Udi Makov, in Risks (2022)
Keywords: Lee–Carter; counting distributions; mortality projections; natural exponential family

Fitting N-mixture models to count data with unmodeled heterogeneity: Bias, diagnostics, and alternative approaches,
Adam Duarte, Michael J. Adams and James T. Peterson, in Ecological Modelling (2018)
Keywords: Abundance; Count data; Detection; Goodness of fit; Monitoring; N-mixture model;

Optimal periodic condition inspection and replacement policy for a binary monotone system using a counting process approach,
R Flage and T Aven, in Journal of Risk and Reliability (2011)
Keywords: condition-based maintenance; monotone system; counting process; periodic inspection

Utilizing citation network structure to predict paper citation counts: A Deep learning approach,
Qihang Zhao and Xiaodong Feng, in Journal of Informetrics (2022)
Keywords: Citation counts prediction; Information cascades; Deep learning; Recurrent neural network;

The dual approach for measuring. Multidimesional deprivation and poverty,
Rolf Aaberge, Eugenio Peluso and Henrik Sigstad, from Statistics Norway, Research Department (2015)
Keywords: Multidimensional deprivation; counting approach; partial orderings; dual measures of deprivation; principles of mean preserving association rearrangements.

Speaking Stata: Making it count,
Nicholas Cox, in Stata Journal (2007)
Keywords: count, counting, data management, dropping variables, finding matches

The dual approach for measuring multidimensional deprivation: Theory and empirical evidence,
Rolf Aaberge, Eugenio Peluso and Henrik Sigstad, in Journal of Public Economics (2019)
Keywords: Multidimensional deprivation; Poverty; Counting approach; Partial orderings; Dual measures of deprivation; Principles of changing association rearrangements;

Spatial spillovers in France: a study on individual count data at the city level,
Emilie-Pauline Gallié and Diego Legros, from HAL (2007)
Keywords: spatial spillovers,count data,generalised cross entropy approach,spatial auto-correlation,city level,externalités de connaissance,spatial,données de comptage,maximum d'entropie généralisé,auto-corrélation spatiale

Does It Matter How We Assess Standard of Living? Evidence from Indian Slums Comparing Monetary and Multidimensional Approaches,
Sugata Bag and Suman Seth, in Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement (2018)
Keywords: Multidimensional counting approach, Slums in Indian metro cities, Monetary well-being, Regression analysis, Standard of living in slums

Understanding Standard of Living and Correlates in Slums - An Analysis Using Monetary Versus Multidimensional Approaches in Three Indian Cities,
Sugata Bag and Suman Seth, from Centre for Development Economics, Delhi School of Economics (2016)
Keywords: Living standards in slums, Indian slums, multidimensional poverty, counting approach, slum characteristics, Delhi, Kolkata, Mumbai.

BENEFITS TRANSFER AND COUNT DATA TRAVEL COST MODELS: AN APPLICATION AND TEST OF A VARYING PARAMETER APPROACH WITH GUIDED WHITEWATER RAFTING,
J. Michael Bowker, Donald B.K. English and John Bergstrom, from University of Georgia, Department of Agricultural and Applied Economics (1997)
Keywords: benefits transfer; whitewater rafting; travel cost; count data models; varying parameters

How to consider fractional counting and field normalization in the statistical modeling of bibliometric data: A multilevel Poisson regression approach,
Rüdiger Mutz and Hans-Dieter Daniel, in Journal of Informetrics (2019)
Keywords: Fractional counting; Field normalization; Multilevel model; Poisson regression; Multilevel multiple membership model;

Modeling Response Bias in Count: A Structural Approach With an Application to the National Crime Victimization Survey Data,
Tong Li, Pravin Trivedi and Jiequn Guo, in Sociological Methods & Research (2003)
Keywords: count data; negative binomial mixture of Poisson regression; school crime victimization; simulated maximum likelihood estimator

An Approach to Analyze Longitudinal Zero-Inflated Microbiome Count Data Using Two-Stage Mixed Effects Models,
Jian Wang, Cielito C. Reyes-Gibby and Sanjay Shete, in Statistics in Biosciences (2021)
Keywords: Oral microbiome, Two-stage model, Zero-inflated negative binomial mixed effects model, Longitudinal count data

Location decisions of natural gas extraction establishments: a smooth transition count model approach,
Jason Brown and Dayton Lambert, from Federal Reserve Bank of Kansas City (2014)
Keywords: Natural gas extraction; Location choice; Count model; Endogenous growth regimes; Spatially varying parameters

Multivariate count data generalized linear models: Three approaches based on the Sarmanov distribution,
Catalina Bolancé and Raluca Vernic, from Xarxa de Referència en Economia Aplicada (XREAP) (2017)
Keywords: multivariate counting distribution, Sarmanov distribution, Negative Binomial distribution, Generalized Linear Model, ML estimation algorithm

Small variance of subgraph counts in a random tournament,
Pontus Andersson, in Statistics & Probability Letters (2000)
Keywords: Random tournament Subgraph count

Counting Happiness from the Individual Level to the Group Level,
Edsel Beja and David Yap, in Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement (2013)
Keywords: Counting, Individual, Group, Happiness,

Analyzing health outcomes measured as bounded counts,
John Mullahy, in Journal of Health Economics (2024)
Keywords: Count data; Bounded outcomes;

CHARTAB: Stata module to tabulate character frequency counts,
Robert Picard, from Boston College Department of Economics (2019)
Keywords: character counts, ASCII, Unicode

The Borda count with weak preferences,
Asen Ivanov, in Economics Letters (2022)
Keywords: Borda count; Preference aggregation; Weak preferences;

Modelling the occupational assimilation of immigrants by ancestry, age group and generational differences in Australia: a random effects approach to a large table of counts,
Kelvyn Jones, Dewi Owen, Ron Johnston, James Forrest and David Manley, in Quality & Quantity: International Journal of Methodology (2015)
Keywords: Tabular analysis of counts, Log-Normal Poisson model, Random effects, Shrinkage, Precision-weighted estimation, Bayesian estimation, Australian immigrant occupations,

Multivariate count data generalized linear models: Three approaches based on the Sarmanov distribution,
Catalina Bolancé and Raluca Vernic, from University of Barcelona, Research Institute of Applied Economics (2017)
Keywords: Multivariate counting distribution, Sarmanov distribution, Negative Binomial distribution, Generalized Linear Model, ML estimation algorithm. JEL classification: C51, G22.

Field-normalized citation impact indicators and the choice of an appropriate counting method,
Ludo Waltman and Nees Jan van Eck, in Journal of Informetrics (2015)
Keywords: Citation analysis; Counting method; Field normalization; Fractional counting; Full counting;

Recursive approximate maximum likelihood estimation for a class of counting process models,
Peter Spreij, in Journal of Multivariate Analysis (1991)
Keywords: recursive estimation counting processes

General counting formulae for factorized time correlation diagram analysis,
Daniel P. Biebighauser, John Gregoire and Darin J. Ulness, in Physica A: Statistical Mechanics and its Applications (2003)
Keywords: FTC diagrams; Counting formulae;

OVERDISP: Stata module to detect overdispersion in count-data models using Stata,
Luiz Paulo Fávero and PatrÌcia Belfiore, from Boston College Department of Economics (2018)
Keywords: overdispersion, count-data models

QCOUNT: Stata program to fit quantile regression models for count data,
Alfonso Miranda, from Boston College Department of Economics (2007)
Keywords: quantile regression, count data

An analysis of in-text citations based on fractional counting,
Chol Myong Pak, Weibin Wang and Guang Yu, in Journal of Informetrics (2020)
Keywords: In-text citations; Mention frequency; Fractional counting; Citation count;

Semiparametric Mixture Models for Multivariate Count Data, with Application,
Marco Alfò and Giovanni Trovato, from Tor Vergata University, CEIS (2004)
Keywords: Correlated counts, Multivariate counts, Correlated random effects, Non-parametric ML

Counting energy poverty in Spain between 2004 and 2015,
Oihana Aristondo and Eneritz Onaindia, in Energy Policy (2018)
Keywords: Counting; Multidimensional poverty; Energy poverty;

Pedestrian Counting Methods at Intersections: a Comparative Study,
Mara Chagas Diogenes, Ryan Greene-Roesel, Lindsay S. Arnold and David R. Ragland, from Institute of Transportation Studies, UC Berkeley (2007)
Keywords: Engineering, pedestrian counts, intersections, safeTREC

Counting and enumeration complexity with application to multicriteria scheduling,
Vincent T’kindt, Karima Bouibede-Hocine and Carl Esswein, in Annals of Operations Research (2007)
Keywords: Multicriteria scheduling, Complexity, Counting, Enumeration,

Accuracy of the box-counting algorithm for noisy fractals,
A. Z. Górski, M. Stróż, P. Oświȩcimka and J. Skrzat, in International Journal of Modern Physics C (IJMPC) (2016)
Keywords: Fractals, noise, box-counting, accuracy

The Analysis of Some Aspects of Fractional Counting of Scientific Articles,
Dmitry Zolotarev, in Science Governance and Scientometrics Journal (2016)
Keywords: Scientific article counting methods, proportional fractional counting, equal fractional counting, governing

A comparison of Dodgson's method and the Borda count,
Thomas C. Ratliff, in Economic Theory (2002)
Keywords: Voting theory, Dogson's method, Borda count.

Non-manipulable domains for the Borda count,
Martin Barbie, Clemens Puppe and Attila Tasnádi, in Economic Theory (2006)
Keywords: Voting, Borda count, Strategy-proofness, Restricted domains.,

Non-Manipulable Domains for the Borda Count,
Martin Barbie, Clemens Puppe and Attila Tasnádi, from University of Bonn, Bonn Graduate School of Economics (BGSE) (2003)
Keywords: Borda count, scoring methods, non-manipulability

Nash implementable domains for the Borda count,
Clemens Puppe and Attila Tasnádi, from University Library of Munich, Germany (2006)
Keywords: Maskin monotonicity; Borda count; restricted preference domains

On the robustness of multidimensional counting poverty orderings,
Francisco Azpitarte, Jose Gallegos and Gaston Yalonetzky, in The Journal of Economic Inequality (2020)
Keywords: Multidimensional poverty, Counting measures, Dominance conditions

Do Solitary Bees Count to Five?,
Noam Bar-Shai, Tamar Keasar and Avi Shmida, from The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem (2011)
Keywords: cognition, counting, foraging, numerical competence, solitary bee

CUENTACOT: Stata module for Contributions Counting,
George Vega, from Boston College Department of Economics (2012)
Keywords: tabulation, per-period totals, summary count

Modeling Longitudinal Count Data,
Sarah Mustillo, Lawrence R. Landerman and Kenneth C. Land, in Sociological Methods & Research (2012)
Keywords: Group differences; growth curve models; marginal effects; count data

Harmonic publication and citation counting: sharing authorship credit equitably – not equally, geometrically or arithmetically,
Nils T. Hagen, in Scientometrics (2010)
Keywords: Bibliometry, Bibliometric counting, Validation, Counting bias

CC-DETR: DETR with Hybrid Context and Multi-Scale Coordinate Convolution for Crowd Counting,
Yanhong Gu, Tao Zhang, Yuxia Hu and Fudong Nian, in Mathematics (2024)
Keywords: crowd counting; transformer; DETR

A Study on Indoor Particulate Matter Variation in Time Based on Count and Sizes and in Relation to Meteorological Conditions,
Marius Bodor, in Sustainability (2021)
Keywords: particulate matter; counting; variation

Count data models with variance of unknown form: an application to a hedonic model of worker absenteeism,
Thomas Kniesner, from Universidad Carlos III de Madrid. Departamento de Estadística (1994)
Keywords: Count data models

Religion and Labor: An Examination of Religious Service Attendance and Unemployment Using Count Data Methods,
Neil Meredith, in Eastern Economic Journal (2017)
Keywords: unemployment, religion, count data