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Una prueba de razón de verosimilitudes para discriminar entre la distribución Poisson, Binomial y Binomial Negativa. Colegio de Postgraduados
López Martínez, Laura Elizabeth.
En este trabajo se realiza inferencia estadística en la distribución Binomial Negativa Generalizada (BNG) y los modelos que anida, los cuales son Binomial, Binomial Negativa y Poisson. Se aborda el problema de estimación de parámetros en la distribución BNG y se propone una prueba de razón de verosimilitud generalizada para discernir si un conjunto de datos se ajusta en particular al modelo Binomial, Binomial Negativa o Poisson. Además, se estudian las potencias y tamaños de la prueba propuesta. Por otro lado, con la finalidad de ilustrar la metodología propuesta, se presentan algunos ejemplos de datos extraídos de investigaciones previas para ver si la prueba es congruente con los resultados que se tienen. _______________ A LIKELIHOOD RATIO TEST TO...
Palavras-chave: Sobredispersión; Distribuciones discretas; Datos de conteo; Prueba de razón de verosimilitud generalizada; Overdispersion; Discrete distributions; Count data; Generalized likelihood ratio test; Maestría; Estadística.
Ano: 2010 URL: http://hdl.handle.net/10521/222
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Una prueba de razón de verosimilitudes para discriminar entre la distribución Poisson, Binomial y Binomial Negativa. Colegio de Postgraduados
López Martínez, Laura Elizabeth.
En este trabajo se realiza inferencia estadística en la distribución Binomial Negativa Generalizada (BNG) y los modelos que anida, los cuales son Binomial, Binomial Negativa y Poisson. Se aborda el problema de estimación de parámetros en la distribución BNG y se propone una prueba de razón de verosimilitud generalizada para discernir si un conjunto de datos se ajusta en particular al modelo Binomial, Binomial Negativa o Poisson. Además, se estudian las potencias y tamaños de la prueba propuesta. Por otro lado, con la finalidad de ilustrar la metodología propuesta, se presentan algunos ejemplos de datos extraídos de investigaciones previas para ver si la prueba es congruente con los resultados que se tienen. _______________ A LIKELIHOOD RATIO TEST TO...
Palavras-chave: Sobredispersión; Distribuciones discretas; Datos de conteo; Prueba de razón de verosimilitud generalizada; Overdispersion; Discrete distributions; Count data; Generalized likelihood ratio test; Maestría; Estadística.
Ano: 2010 URL: http://hdl.handle.net/10521/222
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TOWARD A VALUE FOR GUIDED RAFTING ON SOUTHERN RIVERS AgEcon
Bowker, James Michael; English, Donald B.K.; Donovan, Jason A..
This study examines per trip consumer surplus associated with guided whitewater rafting on two southern rivers. First, household recreation demand functions are estimated based on the individual travel cost model using truncated count data regression methods and alternative price specifications. Findings show mean per trip consumer surplus point estimates between $89 and $286, depending on modeling assumptions and river quality. Magnitudes of these surpluses are very dependent on assumptions about the opportunity cost of time.
Tipo: Journal Article Palavras-chave: Consumer surplus; Count data; Guided rafting; Travel cost; Resource /Energy Economics and Policy.
Ano: 1996 URL: http://purl.umn.edu/15127
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ESTIMATING INSECTICIDE APPLICATION FREQUENCIES: A COMPARISON OF GEOMETRIC AND OTHER COUNT DATA MODELS AgEcon
Hubbell, Bryan J..
The number of insecticide applications made by an apple grower to control an insect infestation is modeled as a geometric random variable. Insecticide efficacy, rate per application, month of treatment, and method of application all have significant impacts on the expected number of applications. The number of applications to control a given insect population is dependent on the probability of achieving successful control with a given application. Results suggest that northeastern growers have the highest and mid-Atlantic growers the lowest probability of controlling an infestation with a given application. Results also indicate that scales require the least and moths the most number of applications. Growers are not responsive to per unit insecticide...
Tipo: Journal Article Palavras-chave: Apples; Count data; Geometric; Insect control; Pesticides; Crop Production/Industries.
Ano: 1997 URL: http://purl.umn.edu/15047
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Selection of Peach Varieties and the Role of Quality Attributes AgEcon
Park, Timothy A.; Florkowski, Wojciech J..
Timely adoption of new varieties is critical to profitable peach production, and peach quality is a primary factor driving adoption. An adoption model for peach varieties is estimated, incorporating grower evaluations of peach quality. The model identifies the impact of farm characteristics such as the farmer's quality preferences, on-farm agronomic and orchard conditions, as well as geographic effects in Georgia peach-growing regions. The relative impact of the key external and internal peach quality attributes on adoption is assessed. Decisions on new varieties are influenced by the age distribution of the orchard, information which can be used in targeting new varieties to growers.
Tipo: Journal Article Palavras-chave: Count data; Peach variety adoption; Robust standard errors; Crop Production/Industries.
Ano: 2003 URL: http://purl.umn.edu/30724
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Measuring the Location Value of a Recreation Site AgEcon
Taylor, R. Garth; McKean, John R.; Johnson, Donn M..
The demand for sport fishing on the Snake River reservoirs was estimated using the travel cost method. A short-run demand model was specified with location value for anglers who have the option to access a follow-on site if fishing conditions are poor. Willingness to pay for a fishing trip to the site was $18.52 for anglers who did not have a follow-on site and $43.48 for anglers who did. A location value of $24.96 accrued only to anglers with a follow-on site. Total annual site value was understated by as much as 40% ($0.78 million) if location value for anglers with a follow-on site was excluded from the benefit estimate.
Tipo: Journal Article Palavras-chave: Contingent behavior; Count data; Endogenous stratification; Follow-on site; Location value; Multiple destination; Option value; Short-run demand; Travel cost method; Resource /Energy Economics and Policy.
Ano: 2010 URL: http://purl.umn.edu/61063
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Use of Direct Marketing Strategies by Farmers and Their Impact on Farm Business Income AgEcon
Uematsu, Hiroki; Mishra, Ashok K..
Direct marketing strategies increasingly have been recognized as a viable business option in U.S. agriculture as they allow producers to receive a better price by selling products directly to consumers. The objective of this study is twofold. Using a national survey, we first estimated a zero-inflated negative binomial model to identify factors affecting the total number of direct marketing strategies adopted by farmers. Then we estimated a quantile regression model to assess the impact of the intensity of adoption of direct marketing strategies on gross cash farm income. The results show that the intensity of adoption has no significant impact on gross cash farm income and that participation in farmers markets is negatively correlated with gross cash farm...
Tipo: Journal Article Palavras-chave: Direct marketing strategies; Count data; Gross cash income; Quantile regression; Agribusiness; Agricultural Finance; Farm Management; Production Economics.
Ano: 2011 URL: http://purl.umn.edu/105457
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A Study of the Demand for Medical Services in Taiwan AgEcon
Chung, Rebecca H.; Lee, Jonq-Ying; Brown, Mark G..
This paper presents a version of the household production theory to explain the demand for health. In this study we have explored the factors that influence the demand for medical services and medical expenditures in Taiwan. A negative binomial model was used to study the demand for medical services. We found that the demand for medical services and medical expenditures are related to household composition, household income, family size, occupation of the household head, and living environments. In addition, we found higher usage of medical services on average for those households with medical insurances other than the national health insurance.
Tipo: Working or Discussion Paper Palavras-chave: Medical service; Demand; Negative binomial model; Count data; Health Economics and Policy.
Ano: 2004 URL: http://purl.umn.edu/53389
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The value of recreational fishing along the Capricorn Coast: A pooled revealed preference and contingent behaviour model AgEcon
Prayaga, Prabha; Rolfe, John; Stoeckl, Natalie.
pooled revealed preference and contingent behaviour model
Tipo: Conference Paper or Presentation Palavras-chave: Recreational fishing; Count data; Contingent behaviour; Great Barrier Reef.
Ano: 2009 URL: http://purl.umn.edu/48059
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Demand for Private Marketing Expertise by Organic Farmers: A Quantile Analysis Based on Counts AgEcon
Lohr, Luanne; Park, Timothy A..
We study the demand by organic farmers for technical advice using a quantile regression for the demand of organic farmers for consultations with private information providers. There is substantial heterogeneity in the impact of critical explanatory variables on consultations of organic farmer. Larger farm size has a positive effect on contacts, but the effect is absent for the highest number of consultations. Internet use has a positive marginal effect on visits to private information providers across each quantile, suggesting that expanded efforts to deliver programs through web-based resources are a useful investment for information providers.
Tipo: Article Palavras-chave: Organic farming; Technical assistance; Quantile regression model; Count data; Internet access; Marketing; C25; Q12; Q13; Q16.
Ano: 2012 URL: http://purl.umn.edu/123784
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The Origin, Development And Structure Of Demand For Plant Genetic Resources. The Impact Of The In Trust Agreements To The CGIAR Collections Availability AgEcon
Caracciolo, Francesco; Gotor, Elisabetta; Holloway, Garth J.; Watts, Jamie.
The objective of this paper is to explore how the demand of germplasm held by CGIAR genebanks changed over time in order to assess the possible influence of the 1994 In Trust Agreements on germplasm demand. The proposed theoretic model motivates the realistic hypothesis that the consequences of the In-Trust Agreements lead to an enhancement of CGIAR germplasm utilization. Therefore the paper firstly examines the classical literature on biodiversity’s valuation and its recent developments and subsequently it investigates the origin of the agricultural biodiversity’s economic value, providing a basic conceptual framework to infer on factors determining the demand for germplasm. Two Bayesian estimation frameworks are applied to the IRRI accessions...
Tipo: Conference Paper or Presentation Palavras-chave: Crop genetic resources; Germplasm collection; Search theoretic framework; Count data; Changepoints; O19; Q18; Q57; C11.
Ano: 2008 URL: http://purl.umn.edu/36773
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Maximum simulated likelihood estimation of a negative binomial regression model with multinomial endogenous treatment AgEcon
Deb, Partha; Trivedi, Pravin K..
We describe specification and estimation of a multinomial treatment effects negative binomial regression model. A latent factor structure is used to accommodate selection into treatment, and a simulated likelihood method is used for estimation. We describe its implementation via the mtreatnb command.
Tipo: Journal Article Palavras-chave: Mtreatnb; Multinomial treatment effects; Latent factors; Count data; Negative binomial; Multinomial logit; Multinomial logistic; Halton sequences; Maximum simulated likelihood; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/117575
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Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables AgEcon
Miranda, Alfonso; Rabe-Hesketh, Sophia.
Studying behavior in economics, sociology, and statistics often involves fitting models in which the response variable depends on a dummy variable—also known as a regime-switch variable—or in which the response variable is observed only if a particular selection condition is met. In either case, standard regression techniques deliver inconsistent estimators if unobserved factors that affect the response are correlated with unobserved factors that affect the switching or selection variable. Consistent estimators can be obtained by maximum likelihood estimation of a joint model of the outcome and switching or selection variable. This article describes a “wrapper” program, ssm, that calls gllamm (Rabe-Hesketh, Skrondal, and Pickles, GLLAMM Manual [University...
Tipo: Journal Article Palavras-chave: Endogenous switching; Sample selection; Binary variable; Count data; Ordinal variable; Probit; Poisson regression; Adaptive quadrature; Gllamm; Wrapper; Ssm; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/117582
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