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Journal articles on the topic 'Ordered probit and logit models'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Winship, Christopher. "Logit and Probit: Ordered and Multinomial Models." Journal of the American Statistical Association 98, no. 463 (2003): 775–76. http://dx.doi.org/10.1198/jasa.2003.s301.

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2

Weiss, Andrew A. "Specification tests in ordered logit and probit models." Econometric Reviews 16, no. 4 (1997): 361–91. http://dx.doi.org/10.1080/07474939708800394.

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3

Breen, Richard, Kristian Bernt Karlson, and Anders Holm. "Interpreting and Understanding Logits, Probits, and Other Nonlinear Probability Models." Annual Review of Sociology 44, no. 1 (2018): 39–54. http://dx.doi.org/10.1146/annurev-soc-073117-041429.

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Methods textbooks in sociology and other social sciences routinely recommend the use of the logit or probit model when an outcome variable is binary, an ordered logit or ordered probit when it is ordinal, and a multinomial logit when it has more than two categories. But these methodological guidelines take little or no account of a body of work that, over the past 30 years, has pointed to problematic aspects of these nonlinear probability models and, particularly, to difficulties in interpreting their parameters. In this review, we draw on that literature to explain the problems, show how they

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Bagozzi, Benjamin E., and Bumba Mukherjee. "A Mixture Model for Middle Category Inflation in Ordered Survey Responses." Political Analysis 20, no. 3 (2012): 369–86. http://dx.doi.org/10.1093/pan/mps020.

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Recent research finds that, for social desirability reasons, uninformed individuals disproportionately give “neither agree nor disagree” type responses to survey attitude questions, even when a “do not know” option is available. Such “face-saving” responses inflate the indifference (i.e., middle) categories of ordered attitude variables with nonordered responses. When such inflation occurs within the middle category of one's ordered dependent variable, estimates from ordered probit (and ordered logit) models are likely to be unreliable and inefficient. This article develops a set of mixture mo

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5

Ye, Fan, and Dominique Lord. "Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit and mixed logit models." Analytic Methods in Accident Research 1 (January 2014): 72–85. http://dx.doi.org/10.1016/j.amar.2013.03.001.

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Nair, Gopindra S., Chandra R. Bhat, Ram M. Pendyala, Becky P. Y. Loo, and William H. K. Lam. "On the Use of Probit-Based Models for Ranking Data Analysis." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 4 (2019): 229–40. http://dx.doi.org/10.1177/0361198119838987.

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In consumer surveys, more information per response regarding preferences of alternatives may be obtained if individuals are asked to rank alternatives instead of being asked to select only the most-preferred alternative. However, the latter method continues to be the common method of preference elicitation. This is because of the belief that ranking of alternatives is cognitively burdensome. In addition, the limited research on modeling ranking data has been based on the rank ordered logit (ROL) model. In this paper, we show that a rank ordered probit (ROP) model can better utilize ranking dat

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7

Li, Yang, and Wei (David) Fan. "Pedestrian Injury Severities in Pedestrian-Vehicle Crashes and the Partial Proportional Odds Logit Model: Accounting for Age Difference." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 5 (2019): 731–46. http://dx.doi.org/10.1177/0361198119842828.

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This study investigates factors that significantly contribute to the severity of pedestrian injuries resulting from pedestrian-vehicle crashes. Multinomial logit (MNL) models, mixed logit (ML) models, and ordered logit/probit models have been widely used in modeling crash injury severity, including pedestrian injury severity in pedestrian-vehicle crashes. However, both MNL and ML models treat injury severity levels as non-ordered, ignoring the inherent hierarchical nature of crash injury severities, and the data used in ordered logit models need to be strictly subjected to the proportional odd

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Mendoza-Arango, Iván Manuel, Eneko Echaniz, Luigi dell’Olio, and Eduardo Gutiérrez-González. "Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction." Sustainability 12, no. 13 (2020): 5318. http://dx.doi.org/10.3390/su12135318.

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Customer overall satisfaction regarding a public transport system is dependent on the satisfaction of the users with the attributes that make up the service, as well as the contribution that each of these attributes makes to explain the overall satisfaction. A common way of analysing the contribution of service attributes to explain overall satisfaction is through the use of ordered logit or probit models. This article presents an ordered logit model that considers the weighting of independent variables through the explicit importance calculated on the basis of a best-worst case 1 choice task.

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Schunck, Reinhard, and Francisco Perales. "Within- and Between-cluster Effects in Generalized Linear Mixed Models: A Discussion of Approaches and the Xthybrid command." Stata Journal: Promoting communications on statistics and Stata 17, no. 1 (2017): 89–115. http://dx.doi.org/10.1177/1536867x1701700106.

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One typically analyzes clustered data using random- or fixed-effects models. Fixed-effects models allow consistent estimation of the effects of level-one variables, even if there is unobserved heterogeneity at level two. However, these models cannot estimate the effects of level-two variables. Hybrid and correlated random-effects models are flexible modeling specifications that separate within-and between-cluster effects and allow for both consistent estimation of level-one effects and inclusion of level-two variables. In this article, we elaborate on the separation of within- and between-clus

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10

Chen, Longmei, Alan T. K. Wan, Geoffrey Tso, and Xinyu Zhang. "A model averaging approach for the ordered probit and nested logit models with applications." Journal of Applied Statistics 45, no. 16 (2018): 3012–52. http://dx.doi.org/10.1080/02664763.2018.1450367.

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11

Srinivasan, Karthik K. "Injury Severity Analysis with Variable and Correlated Thresholds: Ordered Mixed Logit Formulation." Transportation Research Record: Journal of the Transportation Research Board 1784, no. 1 (2002): 132–41. http://dx.doi.org/10.3141/1784-17.

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An ordered mixed logit (OML) formulation is proposed to model injury severity, given a crash. The proposed formulation extends the ordered probit/logit models by accommodating variable, random, and correlated injury severity thresholds associated with various severity levels. The proposed model is calibrated using a sample from the 1996 National Automotive Sampling System General Estimates System data set. Chi-square tests indicate that the more general OML formulation provides a statistically superior representation of observed injury severity data than corresponding ordered logit models. Mod

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Cong, Li, and Jeffrey S. Racine. "A SMOOTH NONPARAMETRIC CONDITIONAL DENSITY TEST FOR CATEGORICAL RESPONSES." Econometric Theory 29, no. 3 (2012): 629–41. http://dx.doi.org/10.1017/s0266466612000382.

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We propose a consistent kernel-based specification test for conditional density models when the dependent variable is categorical/discrete. The method is applicable to popular parametric binary choice models such as the logit and probit specification and their multinomial and ordered counterparts, along with parametric count models, among others. The test is valid when the conditional density function contains both categorical and real-valued covariates. Theoretical support for the test and for a bootstrap-based version of the test is provided. Monte Carlo simulations are conducted to assess t

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Drucker, Joshua, and Asad J. Khattak. "Propensity to Work from Home: Modeling Results from the 1995 Nationwide Personal Transportation Survey." Transportation Research Record: Journal of the Transportation Research Board 1706, no. 1 (2000): 108–17. http://dx.doi.org/10.3141/1706-13.

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Working from home is regaining its popularity because of the advantages it presents for both employees and employers. Telecommunications technologies are enabling the new work-at-home phenomena. This study expands the existing body of work-at-home and telecommuting research by using data from the 1995 Nationwide Personal Transportation Survey to consider a larger sample and to include characteristics unavailable in previous analyses. The effects of socioeconomic, household, locational, and accessibility variables on individuals’ choices to work from home are estimated with ordered logit, order

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Anderson, John Edwin. "Real estate ownership and life satisfaction in transition countries." Journal of European Real Estate Research 12, no. 3 (2019): 345–64. http://dx.doi.org/10.1108/jerer-01-2019-0001.

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Purpose The purpose of this study is to test the hypothesis that real estate ownership contributes to life satisfaction in transition countries. Design/methodology/approach Life in Transition survey data are used to model reported life satisfaction using ordinary least squares, ordered probit, generalized ordered logit and bivariate probit models. The hypothesis tested is whether real estate ownership is associated with greater reported life satisfaction. Findings Empirical results from the variety of empirical models estimated strongly support the hypothesis that real estate ownership is asso

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Nordland, Andrew, Alexander Paz, and Alauddin Khan. "Vehicle Miles Traveled Fee System in Nevada." Transportation Research Record: Journal of the Transportation Research Board 2345, no. 1 (2013): 39–47. http://dx.doi.org/10.3141/2345-06.

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Several barriers are associated with the implementation and deployment of a vehicle miles traveled (VMT) fee system; these barriers range from technology issues to public acceptance. Technology-related barriers are easier to address compared with public-related barriers. In addition, addressing technological barriers requires explicit consideration of the public's attitudes and preferences in relation to various technological options. Public perceptions of and billing preferences for a VMT fee system in Nevada were studied. A survey questionnaire was developed to capture these perceptions and

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16

Bednarczuk, Michael. "Ideology, Vote Choice, and Bureaucracy Across Time: A Longitudinal Test of the Bureau Voting Model in the United States." Administration & Society 50, no. 6 (2015): 812–34. http://dx.doi.org/10.1177/0095399715598342.

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How applicable is the bureau voting model to the United States? Although the literature suggests that government employees are more liberal and vote more Democratic, these findings have recently become inconsistent stateside. In addition, there are strong counterarguments to the premises of the bureau voting model. It is hypothesized that bureaucrats are neither more likely to support Democrats nor more liberal. Using data from the American National Election Studies covering a 30-year period, probit and generalized ordered logit models support these new hypotheses. These results suggest that t

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17

Akhter, S. T., and H. Butt. "History of Childhood Oppression, Inter-Temporal Resentment and Compliance with Codes of Harassment at the Workplace: An Offender’s Perspective." Business Ethics and Leadership 3, no. 4 (2019): 6–14. http://dx.doi.org/10.21272/bel.3(4).6-14.2019.

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This study tends to identify intents and inclinations that explain low/ high compliance with the codes of provocation/harassment, at the workplace. Despite the reason and the fact that most literature on the subject takes into account the perspective of victims of harassment at workplace, this study prefers to take cross-sectional basis of the offender’s perspective. Studies on matters of harassment are generally prone to potential syndromes such as ‘accuse the victim’ and deliberation by state institutions in under-reporting of crime. Victims of sexual harassment, in most of the cases, don’t

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18

Bauldry, Shawn, Jun Xu, and Andrew S. Fullerton. "Gencrm: A New Command for Generalized Continuation-Ratio Models." Stata Journal: Promoting communications on statistics and Stata 18, no. 4 (2018): 924–36. http://dx.doi.org/10.1177/1536867x1801800410.

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A continuation-ratio model represents a variant of an ordered regression model that is suited to modeling processes that unfold in stages, particularly those in which a return to a previous stage is not possible (for example, educational attainment, job promotion, or disease progression). The parameters for covariates in continuation-ratio models may be constrained to be equal, vary by a set of common factors (that is, proportionality constraints), or freely vary across stages. Currently, there are three community-contributed commands that fit continuation-ratio models. Each of these commands

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19

Ozdamar, Oznur. "Exposure to air pollution and crime in the neighbourhood." International Journal of Social Economics 43, no. 12 (2016): 1233–53. http://dx.doi.org/10.1108/ijse-01-2015-0018.

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Purpose The purpose of this paper is to explore the determinants of life satisfaction in Turkey. Moreover, this study explores the effects of air pollution and crime problems on well-being. Design/methodology/approach The estimates are based on cross-sectional data from the health survey in Turkey during the years 2010 and 2012. Various econometric models are applied such as the ordered logit and the random-effects generalized latent class ordered logit. Moreover, using pseudo panel data created based on age and region cohorts adapted probit fixed effects and the “blow-up and cluster” estimato

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20

Saima, T. "Geopolitics of International Relations, Ethnic Polarization and Internal Conflict." SocioEconomic Challenges 3, no. 4 (2019): 25–38. http://dx.doi.org/10.21272/sec.3(4).25-38.2019.

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Geostrategic position of a country not just creates opportunities in form of bilateral and multilateral collaborations, it may also pose stern long term concerns and spillover effects in terms of insecurity and conflict. Pakistan, if not a classic example, is a typical case of continually high geopolitics of international relations: its geostrategic location had been praised by international players during the cold war regime through financial assistance; it was encouraged to take part during the Russian invasion in Afghanistan in late 70’s; and was compelled to play the role of ‘front line st

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Güney, Osman Inanç, and Luca Giraldo. "Consumers’ attitudes and willingness to pay for organic eggs." British Food Journal 122, no. 2 (2019): 678–92. http://dx.doi.org/10.1108/bfj-04-2019-0297.

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Purpose The purpose of this paper is to understand consumer attitudes toward organic eggs by identifying their profiles and estimating the degree of their willingness to pay (WTP) for eggs with different attributes in order to evaluate the position of organic eggs. Design/methodology/approach Empirical data were collected from a face-to-face cross-sectional market survey, which involved a choice experiment design and a series of questions related to respondents’ attitudes and preferences in terms of organic egg consumption. A total of 552 consumers who are responsible for their household purch

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22

Kmenta, Jan, John H. Aldrich, Forrest D. Nelson, Paul Newbold, and Theodore Bos. "Linear Probability, Logit, and Probit Models." Journal of the American Statistical Association 83, no. 401 (1988): 272. http://dx.doi.org/10.2307/2288960.

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23

Everitt, Brian. "Linear probability logit and probit models." Personality and Individual Differences 8, no. 6 (1987): 985. http://dx.doi.org/10.1016/0191-8869(87)90158-9.

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24

Okon, Inah Eteng. "INTERSECTION LEVEL OF SERVICE FOR THE CICLORUTA BICYCLE INFRASTRUCTURE IN BOGOTA, COLOMBIA." Humanities & Social Sciences Reviews 9, no. 4 (2021): 133–45. http://dx.doi.org/10.18510/hssr.2021.9420.

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Purpose of the study: A satisfaction audit for use of cycling mode is aimed at the promotion of non-motorized transport which is safe, comfortable, economical and energy-efficient as critical for urban sustainability. The study examined the level of satisfaction that cyclists derive from the cicloruta based on the intersections in the network. Methodology: The methodology involved the use of primary data such as 680 perceptions of satisfaction ratings; physical and operational characteristics of road infrastructure (measurement and observational) data; and shapefile of the cicloruta. The

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Opic, Sinisa. "Specifics of logit and probit regression in education sciences - why wouldn't we use it?" Cypriot Journal of Educational Sciences 15, no. 6 (2020): 1557–68. http://dx.doi.org/10.18844/cjes.v15i6.5305.

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Regression is one of the dominant analysis methods used in the social sciences and educational sciences. There are different regression methods based on the type of research that is being conducted. The probit and logit regression models are regression methods which are being used recently by most researchers. However, their interpretations are not straightfoward and most researchers end up misinterepreting the results from the probit and logit regression models. This research therefore aims to examine the differences between the probit and logit models, in comparison with other linear regress

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Bach-Mortensen, Anders Malthe, and Paul Montgomery. "Does sector matter for the quality of care services? A secondary analysis of social care services regulated by the Care Inspectorate in Scotland." BMJ Open 9, no. 2 (2019): e022975. http://dx.doi.org/10.1136/bmjopen-2018-022975.

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ObjectivesSocial services are increasingly commissioned to third and for-profit sector providers, but little is known about whether and how these changes influence quality indicators. We assessed quality-related outcomes across for-profit, public and third sector organisations delivering social care services.DesignA secondary analysis was conducted on publically available data collected by the independent regulator of social care organisations in Scotland. All outcomes are reported as predicted probabilities derived from multivariate logistic regression coefficients. Generalised ordered logit

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Jones, Bradford S., and Regina P. Branton. "Beyond Logit and Probit: Cox Duration Models of Single, Repeating, and Competing Events for State Policy Adoption." State Politics & Policy Quarterly 5, no. 4 (2005): 420–43. http://dx.doi.org/10.1177/153244000500500406.

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Since 1990, the standard statistical approach for studying state policy adoption has been an event history analysis using binary link models, such as logit or probit. In this article, we evaluate this logit-probit approach and consider some alternative strategies for state policy adoption research. In particular, we discuss the Cox model, which avoids the need to parameterize the baseline hazard function and, therefore, is often preferable to the logit-probit approach. Furthermore, we demonstrate how the Cox model can be modified to deal effectively with repeatable and competing events, events

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Ai, Chunrong, and Edward C. Norton. "Interaction terms in logit and probit models." Economics Letters 80, no. 1 (2003): 123–29. http://dx.doi.org/10.1016/s0165-1765(03)00032-6.

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Ronning, Gerd, and Martin Kukuk. "Efficient Estimation of Ordered Probit Models." Journal of the American Statistical Association 91, no. 435 (1996): 1120–29. http://dx.doi.org/10.1080/01621459.1996.10476982.

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Zrubka, Zsombor, Óscar Brito Fernandes, Petra Baji, et al. "Exploring eHealth Literacy and Patient-Reported Experiences With Outpatient Care in the Hungarian General Adult Population: Cross-Sectional Study." Journal of Medical Internet Research 22, no. 8 (2020): e19013. http://dx.doi.org/10.2196/19013.

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Background Digital health, which encompasses the use of information and communications technology in support of health, is a key driving force behind the cultural transformation of medicine toward people-centeredness. Thus, eHealth literacy, assisted by innovative digital health solutions, may support better experiences of care. Objective The purpose of this study is to explore the relationship between eHealth literacy and patient-reported experience measures (PREMs) among users of outpatient care in Hungary. Methods In early 2019, we conducted a cross-sectional survey on a large representativ

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Munizaga, Marcela A., and Ricardo Alvarez-Daziano. "Testing Mixed Logit and Probit Models by Simulation." Transportation Research Record: Journal of the Transportation Research Board 1921, no. 1 (2005): 53–62. http://dx.doi.org/10.1177/0361198105192100107.

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Discrete choice models with error structures that are not independent and identically distributed have received enormous attention in the recent literature. A detailed synthetic study tests this type of model in a controlled case. With mixed logit and probit models as the study objects, calibration was implemented with the use of software available on the Internet. The controlled situation was built as a simulation laboratory, which generated databases with known parameters. The effects of various elements were analyzed: number of repetitions of the simulation, number of observations in the da

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Choe, Chung, SeEun Jung, and Ronald L. Oaxaca. "Identification and decompositions in probit and logit models." Empirical Economics 59, no. 3 (2019): 1479–92. http://dx.doi.org/10.1007/s00181-019-01716-2.

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Horowitz, Joel L., and N. E. Savin. "Binary Response Models: Logits, Probits and Semiparametrics." Journal of Economic Perspectives 15, no. 4 (2001): 43–56. http://dx.doi.org/10.1257/jep.15.4.43.

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A binary-response model is a mean-regression model in which the dependent variable takes only the values zero and one. This paper describes and illustrates the estimation of logit and probit binary-response models. The linear probability model is also discussed. Reasons for not using this model in applied research are explained and illustrated with data. Semiparametric and nonparametric models are also described. In contrast to logit and probit models, semi- and nonparametric models avoid the restrictive and unrealistic assumption that the analyst knows the functional form of the relation betw

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de Faria, Rute Q., Amanda R. P. dos Santos, Deoclecio J. Amorim, Renato F. Cantão, Edvaldo A. A. da Silva, and Maria M. P. Sartori. "Probit or Logit? Which is the better model to predict the longevity of seeds?" Seed Science Research 30, no. 1 (2020): 49–58. http://dx.doi.org/10.1017/s0960258520000136.

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AbstractThe prediction of seed longevity (P50) is traditionally performed by the use of the Probit model. However, due to the fact that the survival data are of binary origin (0,1), the fit of the model can be compromised by the non-normality of the residues. Consequently, this leads to prediction losses, despite the data being partially smoothed by Probit and Logit models. A possibility to reduce the effect of non-normality of the data would be to apply the principles of the central limit theorem, which states that non-normal residues tend to be normal as the n sample is increased. The Logit

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ALLISON, PAUL D. "Introducing a Disturbance into Logit and Probit Regression Models." Sociological Methods & Research 15, no. 4 (1987): 355–74. http://dx.doi.org/10.1177/0049124187015004001.

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DUBIN, JEFFREY A., and DOUGLAS RIVERS. "Selection Bias in Linear Regression, Logit and Probit Models." Sociological Methods & Research 18, no. 2-3 (1989): 360–90. http://dx.doi.org/10.1177/0049124189018002006.

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Rosenthal, J. A., and D. H. Rosenthal. "Logit and probit models: A juvenile justice program evaluation." Social Work Research and Abstracts 27, no. 3 (1991): 16–21. http://dx.doi.org/10.1093/swra/27.3.16.

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Chu, You-Lian. "Automobile Ownership Analysis Using Ordered Probit Models." Transportation Research Record: Journal of the Transportation Research Board 1805, no. 1 (2002): 60–67. http://dx.doi.org/10.3141/1805-08.

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Anagnostopoulos, Yiannis, and Milad Abedi. "Risk Pricing in Emerging Economies." International Journal of Finance & Banking Studies (2147-4486) 5, no. 1 (2016): 51–72. http://dx.doi.org/10.20525/ijfbs.v5i1.41.

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Iran’s banking industry as a developing country is comparatively very new to risk management practices. An inevitable predictive implication of this rapid growth is the growing concerns with regard to credit risk management which is the motivation of conducting this research. The paper focuses on the credit scoring aspect of credit risk management using both logit and probit regression approaches. Real data on corporate customers are available for conducting this research which is also a contribution to this area for all other developing countries. Our questions focus on how future customers c

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Williams, Richard. "Understanding and interpreting generalized ordered logit models." Journal of Mathematical Sociology 40, no. 1 (2016): 7–20. http://dx.doi.org/10.1080/0022250x.2015.1112384.

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Glasgow, Garrett. "Mixed Logit Models for Multiparty Elections." Political Analysis 9, no. 2 (2001): 116–36. http://dx.doi.org/10.1093/oxfordjournals.pan.a004867.

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Mixed logit (MXL) is a general discrete choice model thus far unexamined in the study of multicandidate and multiparty elections. Mixed logit assumes that the unobserved portions of utility are a mixture of an IID extreme value term and another multivariate distribution selected by the researcher. This general specification allows MXL to avoid imposing the independence of irrelevant alternatives (IIA) property on the choice probabilities. Further, MXL is a flexible tool for examining heterogeneity in voter behavior through random-coefficients specifications. MXL is a more general discrete choi

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Petersen, Trond. "A Comment on Presenting Results from Logit and Probit Models." American Sociological Review 50, no. 1 (1985): 130. http://dx.doi.org/10.2307/2095348.

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Ghareib, Ahmed Hamdy. "Evaluation of Logit and Probit Models in Mode-Choice Situation." Journal of Transportation Engineering 122, no. 4 (1996): 282–90. http://dx.doi.org/10.1061/(asce)0733-947x(1996)122:4(282).

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Breen, Richard, Kristian Bernt Karlson, and Anders Holm. "Total, Direct, and Indirect Effects in Logit and Probit Models." Sociological Methods & Research 42, no. 2 (2013): 164–91. http://dx.doi.org/10.1177/0049124113494572.

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Alsoruji, Abeer H., Sulafah Binhimd, and Mervat K. Abd Elaal. "A comparison of univariate probit and logit models using simulation." Applied Mathematical Sciences 12, no. 4 (2018): 185–204. http://dx.doi.org/10.12988/ams.2018.818.

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Stewart, Mark B. "Semi-nonparametric Estimation of Extended Ordered Probit Models." Stata Journal: Promoting communications on statistics and Stata 4, no. 1 (2004): 27–39. http://dx.doi.org/10.1177/1536867x0100400102.

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Beresteanu, Arie, and Federico Zincenko. "Efficiency Gains in Rank-ordered Multinomial Logit Models." Oxford Bulletin of Economics and Statistics 80, no. 1 (2017): 122–34. http://dx.doi.org/10.1111/obes.12190.

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Szeląg, Bartosz, Łukasz Bąk, Roman Suligowski, and Jarosław Górski. "Statistical models to predict discharge overflow." Water Science and Technology 78, no. 5 (2018): 1208–18. http://dx.doi.org/10.2166/wst.2018.392.

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Abstract In the paper, a comparison of prediction results concerning the annual number of discharges of stormwater from the drainage system due to stormwater overflows is depicted. The prediction has been computed by means of storm water management model (SWMM) and probabilistic models. Regarding the probabilistic modelling some simple statistical models such as logit, probit, Gompertz and linear discriminant analysis model have been applied, and as for the hydrodynamic modelling a generator of synthetic rainfall based on the Monte Carlo method has been used. The analyses conducted has shown t

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Sitter, R. R., and I. Fainaru. "Optimal designs for the logit and probit models for binary data." Canadian Journal of Statistics 25, no. 2 (1997): 175–90. http://dx.doi.org/10.2307/3315730.

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Norton, Edward C., Hua Wang, and Chunrong Ai. "Computing Interaction Effects and Standard Errors in Logit and Probit Models." Stata Journal: Promoting communications on statistics and Stata 4, no. 2 (2004): 154–67. http://dx.doi.org/10.1177/1536867x0400400206.

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