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Статті в журналах з теми "IV estimation"
Kitamura, Yuichi, and Peter C. B. Phillips. "Efficient IV Estimation in Nonstationary Regression." Econometric Theory 11, no. 5 (October 1995): 1095–130. http://dx.doi.org/10.1017/s026646660000997x.
Повний текст джерелаSkeels, Christopher L., and Larry W. Taylor. "Prediction after IV estimation." Economics Letters 122, no. 3 (March 2014): 420–22. http://dx.doi.org/10.1016/j.econlet.2014.01.003.
Повний текст джерелаBenson, David, Matthew A. Masten, and Alexander Torgovitsky. "ivcrc: An instrumental-variables estimator for the correlated random-coefficients model." Stata Journal: Promoting communications on statistics and Stata 22, no. 3 (September 2022): 469–95. http://dx.doi.org/10.1177/1536867x221124449.
Повний текст джерелаBenson, David, Matthew A. Masten, and Alexander Torgovitsky. "ivcrc: An Instrumental Variables Estimator for the Correlated Random Coefficients Model." Finance and Economics Discussion Series 2020, no. 046r1 (April 4, 2022): 1–29. http://dx.doi.org/10.17016/feds.2020.046r1.
Повний текст джерелаLange, Theis, and Aksel K. G. Jensen. "IV estimation without distributional assumptions." Biometrical Journal 62, no. 3 (February 5, 2020): 688–96. http://dx.doi.org/10.1002/bimj.201800277.
Повний текст джерелаPark, Soojin, and Gregory J. Palardy. "Sensitivity Evaluation of Methods for Estimating Complier Average Causal Mediation Effects to Assumptions." Journal of Educational and Behavioral Statistics 45, no. 4 (March 9, 2020): 475–506. http://dx.doi.org/10.3102/1076998620908599.
Повний текст джерелаAlbuquerque, Pedro Henrique Melo, and Mariana Rosa Montenegro. "PROMETHEE IV through kernel density estimation." Communications in Statistics - Theory and Methods 45, no. 18 (December 17, 2015): 5355–62. http://dx.doi.org/10.1080/03610926.2014.942432.
Повний текст джерелаCarrara, Nicholas, and Jesse Ernst. "On the Estimation of Mutual Information." Proceedings 33, no. 1 (January 15, 2020): 31. http://dx.doi.org/10.3390/proceedings2019033031.
Повний текст джерелаMitnik, Pablo A. "Intergenerational Income Elasticities, Instrumental Variable Estimation, and Bracketing Strategies." Sociological Methodology 50, no. 1 (January 7, 2020): 1–46. http://dx.doi.org/10.1177/0081175019887992.
Повний текст джерелаTadano, Kotaro, Kenji Kawashima, Kazuyuki Kojima, and Naofumi Tanaka. "Development of a Pneumatic Surgical Manipulator IBIS IV." Journal of Robotics and Mechatronics 22, no. 2 (April 20, 2010): 179–88. http://dx.doi.org/10.20965/jrm.2010.p0179.
Повний текст джерелаДисертації з теми "IV estimation"
Barnwell, Ménard Jean-Louis. "A semiparametric IV estimation of the government debt/GDP-growth relationship for OECD countries." Mémoire, Université de Sherbrooke, 2015. http://hdl.handle.net/11143/7935.
Повний текст джерелаRésumé : Dans cette étude, nous utilisons un estimateur semi-paramétrique VI pour décrire la forme fonctionnelle de la relation entre la dette gouvernementale relative au PIB et la croissance économique dans les pays de l'OCDE. Nous estimons cette relation dans le cadre d'un modèle de croissance pour différents sous-ensembles de pays de l'OCDE, entre 1971 et 2010. Nous trouvons, comme plusieurs études préalables, une forte hétérogénéité entre les formes fonctionnelles estimées pour les différents sous-ensembles de pays. Pour l'échantillon complet, nous trouvons une relation non linéaire et complexe, alors que pour l'ensemble de pays PIIGS (Portugal, Italie, Irlande, Grèce et Espagne), cette relation s'illustre clairement par une forme de U-inverse. De plus, nous trouvons que la forme fonctionnelle estimée du groupe PIIGS explique en grande partie les non-linéarités caractérisant la relation pour l'ensemble de l'échantillon. En effet, lorsque le groupe PIIGS est exclu de l'échantillon, nous trouvons une relation dette/PIB-croissance quasi linéaire et positive. Nous appliquons deux tests de spécification afin de confirmer la pertinence de l'estimateur semi-paramétrique VI dans ce contexte.
Jamil, Mikael. "Investigating the level of interdependency between the performance(s) of direct opponent(s) in professional football : a study on teams, positional units and individual players competing in the German Bundesliga." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/21109.
Повний текст джерелаAmmar, Karim. "Conception multi-physique et multi-objectif des cœurs de RNR-Na hétérogènes : développement d’une méthode d’optimisation sous incertitudes." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112390/document.
Повний текст джерелаSince Phenix shutting down in 2010, CEA does not have Sodium Fast Reactor (SFR) in operating condition. According to global energetic challenge and fast reactor abilities, CEA launched a program of industrial demonstrator called ASTRID (Advanced Sodium Technological Reactor for Industrial Demonstration), a reactor with electric power capacity equal to 600MW. Objective of the prototype is, in first to be a response to environmental constraints, in second demonstrates the industrial viability of:• SFR reactor. The goal is to have a safety level at least equal to 3rd generation reactors. ASTRID design integrates Fukushima feedback;• Waste reprocessing (with minor actinide transmutation) and it linked industry.Installation safety is the priority. In all cases, no radionuclide should be released into environment. To achieve this objective, it is imperative to predict the impact of uncertainty sources on reactor behaviour. In this context, this thesis aims to develop new optimization methods for SFR cores. The goal is to improve the robustness and reliability of reactors in response to existing uncertainties. We will use ASTRID core as reference to estimate interest of new methods and tools developed.The impact of multi-Physics uncertainties in the calculation of the core performance and the use of optimization methods introduce new problems:• How to optimize “complex” cores (i.e. associated with design spaces of high dimensions with more than 20 variable parameters), taking into account the uncertainties?• What is uncertainties behaviour for optimization core compare to reference core?• Taking into account uncertainties, optimization core are they still competitive? Optimizations improvements are higher than uncertainty margins?The thesis helps to develop and implement methods necessary to take into account uncertainties in the new generation of simulation tools. Statistical methods to ensure consistency of complex multi-Physics simulation results are also detailed.By providing first images of innovative SFR core, this thesis presents methods and tools to reduce the uncertainties on some performance while optimizing them. These gains are achieved through the use of multi-Objective optimization algorithms. These methods provide all possible compromise between the different optimization criteria, such as the balance between economic performance and safety
Zhao, Yanqing. "Estimating the Impact of Women's Education on the U.S. Suffrage Movement: An IV Approach." Miami University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1619204130954484.
Повний текст джерелаCorrêa, Fábio Henrique Pires [UNESP]. "Estimativa das radiações ultravioleta (UV), fotossintéticamente ativa (PAR) e infravermelha (IV) em função da razão de insolação." Universidade Estadual Paulista (UNESP), 2011. http://hdl.handle.net/11449/86481.
Повний текст джерелаConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
O trabalho descreve a análise da transmissividade atmosférica da média mensal das radiações Global K T), Ultravioleta K TUV F t i tetic me te Ati K TPAR e I f e me h K TIV) em função da razão de insolação N ). As equações de estimativas das frações KT, KTUV, KTPAR e KTIV em função de (n/N) foram apresentadas e discutidas para os agrupamentos dos dados anual, sazonal e mensal. A base de dados das radiações Global (G), Ultravioleta (UV), Fotossinteticamente Ativa (PAR), Infravermelha (IV) e o número de horas de brilho solar (n) foram medidas no período de 2001 a 2005 em Botucatu/SP/Brasil. Os resultados da análise mostram que existe uma correlação entre a transmissividade atmosférica KT, KTUV, KTPAR e KTIV, com a razão de insolação (n/N), em Botucatu. Os valores de KT, KTUV, KTPAR e KTIV e insolação (n/N) foram menores na estação chuvosa (alta concentração de nuvens e vapor d'ág e m i e t ec b ix c ce t de e e p d’ ág e t concentração de aerossóis). Os valores de KT variaram de 47,1% em janeiro a 60,4% em abril, com média de 55,0%; para KTUV 3,66% em janeiro a 4,13% em setembro, com média de 40,0%; KTPAR de 60,7% em janeiro a 76,3% em abril, com média de 69,0%; KTIV de 38,8% para 75,1% com média de 46,2%. O valor da razão de insolação variou de 38,8% em janeiro para 75,0% em agosto, com uma média de 58,0%. Os resultados obtidos com os modelos de estimativas de Angström mostram que as correlações de KT, KTUV, KTPAR e KTIV em função da razão de insolação (n/N) para agrupamentos total dos dados diários (anual) se ajustaram a dois tipos de equações de regressão: linear e parabólico com coeficientes de correlações R2 variando entre 0,750 a 0,880. Na validação do modelo linear...
The paper deals with the atmospheric transmission (solar fractions Ki) in monthly scale by hi e ti g b K T t i et K TUV), photosynthetically active K TPAR d i f ed K TIR) solar fractions. Estimated equations KT, KTUV, KTPAR and KTIR as a function of n/N were presented and discussed for the annual, seasonal and monthly solar radiation database. The sunshine values and the global (G), ultraviolet (UV), photosynthetically active (PAR) and infrared (IR) radiations database was measured in the period of 2001 to 2005 in Botucatu – SP – Brazil. The results of climate analysis show a correlation between the solar fractions KT, KTUV, KTPAR and KTIR with the relative sunshine duration (n/N) in Botucatu. The values of KT, KTUV, KTPAR and KTIR and relative sunshine duration (n/N) were lower in the rainy season (high concentration of clouds and water vapor) and higher in the dry season (low concentration of clouds and water vapor and high concentration of aerosols). The KT values ranged from 47,1% in January to 60,4% in April, with a mean of 55,0%; KUV from 3,66% in January to 4,13% in September, with a mean of 40,0%; KPAR from 60,7% in January to 76,3% in April, with a mean of 69,0%; KIR from 38,8% to 75,1%, with a mean of 46,2%. The relative sunshine duration values ranged from 38,8% in January to 75,0% in August, with a mean of 58,0%. The results of the annual estimated models show that the KT, KTUV, KTPAR and KTIR correlations due to relative sunshine duration fitted to the linear and parabolic correlation equations... (Complete abstract click electronic access below)
Corrêa, Fábio Henrique Pires 1985. "Estimativa das radiações ultravioleta (UV), fotossintéticamente ativa (PAR) e infravermelha (IV) em função da razão de insolação /." Botucatu : [s.n.], 2011. http://hdl.handle.net/11449/86481.
Повний текст джерелаBanca: Dinival Martins
Banca: Alexandre Dal Pai
Resumo: O trabalho descreve a análise da transmissividade atmosférica da média mensal das radiações Global K T), Ultravioleta K TUV F t i tetic me te Ati K TPAR e I f e me h K TIV) em função da razão de insolação N ). As equações de estimativas das frações KT, KTUV, KTPAR e KTIV em função de (n/N) foram apresentadas e discutidas para os agrupamentos dos dados anual, sazonal e mensal. A base de dados das radiações Global (G), Ultravioleta (UV), Fotossinteticamente Ativa (PAR), Infravermelha (IV) e o número de horas de brilho solar (n) foram medidas no período de 2001 a 2005 em Botucatu/SP/Brasil. Os resultados da análise mostram que existe uma correlação entre a transmissividade atmosférica KT, KTUV, KTPAR e KTIV, com a razão de insolação (n/N), em Botucatu. Os valores de KT, KTUV, KTPAR e KTIV e insolação (n/N) foram menores na estação chuvosa (alta concentração de nuvens e vapor d'ág e m i e t ec b ix c ce t de e e p d' ág e t concentração de aerossóis). Os valores de KT variaram de 47,1% em janeiro a 60,4% em abril, com média de 55,0%; para KTUV 3,66% em janeiro a 4,13% em setembro, com média de 40,0%; KTPAR de 60,7% em janeiro a 76,3% em abril, com média de 69,0%; KTIV de 38,8% para 75,1% com média de 46,2%. O valor da razão de insolação variou de 38,8% em janeiro para 75,0% em agosto, com uma média de 58,0%. Os resultados obtidos com os modelos de estimativas de Angström mostram que as correlações de KT, KTUV, KTPAR e KTIV em função da razão de insolação (n/N) para agrupamentos total dos dados diários (anual) se ajustaram a dois tipos de equações de regressão: linear e parabólico com coeficientes de correlações R2 variando entre 0,750 a 0,880. Na validação do modelo linear... (Resumo completo, clicar aesso eletrônico abaixo)
Abstract: The paper deals with the atmospheric transmission (solar fractions Ki) in monthly scale by hi e ti g b K T t i et K TUV), photosynthetically active K TPAR d i f ed K TIR) solar fractions. Estimated equations KT, KTUV, KTPAR and KTIR as a function of n/N were presented and discussed for the annual, seasonal and monthly solar radiation database. The sunshine values and the global (G), ultraviolet (UV), photosynthetically active (PAR) and infrared (IR) radiations database was measured in the period of 2001 to 2005 in Botucatu - SP - Brazil. The results of climate analysis show a correlation between the solar fractions KT, KTUV, KTPAR and KTIR with the relative sunshine duration (n/N) in Botucatu. The values of KT, KTUV, KTPAR and KTIR and relative sunshine duration (n/N) were lower in the rainy season (high concentration of clouds and water vapor) and higher in the dry season (low concentration of clouds and water vapor and high concentration of aerosols). The KT values ranged from 47,1% in January to 60,4% in April, with a mean of 55,0%; KUV from 3,66% in January to 4,13% in September, with a mean of 40,0%; KPAR from 60,7% in January to 76,3% in April, with a mean of 69,0%; KIR from 38,8% to 75,1%, with a mean of 46,2%. The relative sunshine duration values ranged from 38,8% in January to 75,0% in August, with a mean of 58,0%. The results of the annual estimated models show that the KT, KTUV, KTPAR and KTIR correlations due to relative sunshine duration fitted to the linear and parabolic correlation equations... (Complete abstract click electronic access below)
Mestre
Dal, Pai Enzo [UNESP]. "Radiciações e frações solares UV, PAR, IV em estufa de polietileno: evolução anual média mensal diária e equações de estimativa." Universidade Estadual Paulista (UNESP), 2010. http://hdl.handle.net/11449/90452.
Повний текст джерелаConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
O trabalho descreve o estudo das radiações global(G), ultravioleta (UV), fotossinteticamente ativa (PAR), infravermelha (IV) e da insolação, em uma estufa de polietileno, medidas no período de março de 2008 a fevereiro de 2009 em Botucatu, São Paulo, Brasil. Foram analisados no presente estudo: 1- a evolução anual das radiações e frações solares UV/G, PAR/G e IV/G média mensal; 2- as equações de estimativa para as radiações UV, PAR e IV dentro da estufa em função das radiações global interna e global externa ; 3- evolução anual da insolação média mensal e a equação de estimativa Ångström para as radiações G, UV, PAR e IV dentro da estufa, em função da razão de insolação interna e externa. A evolução anual das radiações G, UV, PAR e IV médias mensais diárias dentro e fora da estufa, mostrou que alem do dia e local, dependem do clima, cobertura do céu, presença de vapor entre outros. As radiações foram maiores no verão-primavera e menores no outono-inverno. Os valores médios total dentro e fora da estufa foram: GIN = 13,1MJ/m2, UVIN= 0,34MJ/m2, PARIN = 6,70 MJ/m2 e IVIN = 6,15MJ/m2, GEX= 17,14MJ/m2, UVEX= 0,72MJ/m2, PAREX = 8.38 MJ/m2 e IVEX= 8.04MJ/m2. Os valores médios total, das frações em percentagem, dentro e fora da estufa foram: UVIN / GIN =2,6% ; PARIN/GIN = 50.6%, IVIN/GIN= 47,1%, UVEX / GEX = 4,18%, PAREX/GEX= 48,9% e IVEX/GEX= 46,9% respectivamente. As equações de estimativa, anual e sazonal, obtidas para as irradiações Huv, Hpar e Hiv em função da radiação HIN e HEX são lineares, tipo Y = aX, onde coeficiente angular quantifica percentualmente a fração espectral: anual HUVIN /HGIN = 2,6%; HPARIN/HGIN = 50,8% e HIVIN/HGIN = 46,7%, enquanto que a sazonal: Primavera HUVIN /HGIN = 2,5%; HPARIN/HGIN = 51,7% e HIVIN/HGIN = 45,7%; Verão: HUVIN /HGIN = 2,7%; HPARIN/HGIN = 51,8% e HIVIN/HGIN = 45,4%,...
This study describes the study of the global radiation(G), ultraviolet (UV), photosynthetically active radiation (PAR), infrared radiation (IV) and insolation, inside a greenhouse of polyethylene, measures in the period of March 2008 to February of 2009 in Botucatu, São Paulo, Brazil. They had been analyzed in the present study: 1 – annual, monthly and average evolution of the radiations UV/G, PAR/G and IV/G; 2 - equations of estimate for radiations UV, PAR and IV inside of the greenhouse in function of the radiations global internal and global external; 3 - annual evolution of the monthly average insolation and Ångström equation of estimate for radiations G, UV, PAR and IV inside of the greenhouse, in function of the reason of internal and external insolation. The annual evolution of radiations G, UV, PAR and IV daily monthly averages inside and outside of the greenhouse, showed that beyond the day and place, they depend on the climate, the radiations had been bigger in the summer-spring and minors in the autumn-winter. The average values total inside and outside of the greenhouse had been: GIN = 13,1MJ/m2, UVIN= 0,34MJ/m2, PARIN =6,70 MJ/m2 and IVIN = 6,15MJ/m2, GEX= 17,14MJ/m2, UVEX= 0,72MJ/m2, PAREX = 8,38 MJ/m2 and IVEX= 8.04MJ/m2. The average values total, of the fractions in percentage, inside and outside of the greenhouse had been: UVIN/GIN =2,6%; PARIN/GIN = 50,6%, IVIN/GIN= 47,1%, UVEX/GEX = 4,18%, PAREX/GEX= 48,9% and IVEX/GEX= 46,9% respectively. The equations of estimate, annual and sazonal, gotten for the irradiations Huv, Hpar and Hiv in function of radiation HIN and HEX are linear, type Y = aX, where angular coefficient it quantifies the spectral fraction percentile: annual HUVIN /HGIN = 2,6%; HPARIN/HGIN = 50,8% and HIVIN/HGIN = 46,7%, whereas the sazonal: Spring HUVIN /HGIN = 2,5%; HPARIN/HGIN = 51,7% and HIVIN/HGIN = 45,7%; Summer: HUVIN /HGIN = 2,7%; ...(Complete abstract click electronic access below)
Dal, Pai Enzo 1982. "Radiciações e frações solares UV, PAR, IV em estufa de polietileno : evolução anual média mensal diária e equações de estimativa /." Botucatu : [s.n.], 2010. http://hdl.handle.net/11449/90452.
Повний текст джерелаBanca: Luiz Roberto Angelocci
Banca: Dinival Martins
Resumo: O trabalho descreve o estudo das radiações global(G), ultravioleta (UV), fotossinteticamente ativa (PAR), infravermelha (IV) e da insolação, em uma estufa de polietileno, medidas no período de março de 2008 a fevereiro de 2009 em Botucatu, São Paulo, Brasil. Foram analisados no presente estudo: 1- a evolução anual das radiações e frações solares UV/G, PAR/G e IV/G média mensal; 2- as equações de estimativa para as radiações UV, PAR e IV dentro da estufa em função das radiações global interna e global externa ; 3- evolução anual da insolação média mensal e a equação de estimativa Ångström para as radiações G, UV, PAR e IV dentro da estufa, em função da razão de insolação interna e externa. A evolução anual das radiações G, UV, PAR e IV médias mensais diárias dentro e fora da estufa, mostrou que alem do dia e local, dependem do clima, cobertura do céu, presença de vapor entre outros. As radiações foram maiores no verão-primavera e menores no outono-inverno. Os valores médios total dentro e fora da estufa foram: GIN = 13,1MJ/m2, UVIN= 0,34MJ/m2, PARIN = 6,70 MJ/m2 e IVIN = 6,15MJ/m2, GEX= 17,14MJ/m2, UVEX= 0,72MJ/m2, PAREX = 8.38 MJ/m2 e IVEX= 8.04MJ/m2. Os valores médios total, das frações em percentagem, dentro e fora da estufa foram: UVIN / GIN =2,6% ; PARIN/GIN = 50.6%, IVIN/GIN= 47,1%, UVEX / GEX = 4,18%, PAREX/GEX= 48,9% e IVEX/GEX= 46,9% respectivamente. As equações de estimativa, anual e sazonal, obtidas para as irradiações Huv, Hpar e Hiv em função da radiação HIN e HEX são lineares, tipo Y = aX, onde coeficiente angular quantifica percentualmente a fração espectral: anual HUVIN /HGIN = 2,6%; HPARIN/HGIN = 50,8% e HIVIN/HGIN = 46,7%, enquanto que a sazonal: Primavera HUVIN /HGIN = 2,5%; HPARIN/HGIN = 51,7% e HIVIN/HGIN = 45,7%; Verão: HUVIN /HGIN = 2,7%; HPARIN/HGIN = 51,8% e HIVIN/HGIN = 45,4%, ...(Resumo completo, clicar acesso eletrônico abaixo)
Abstract: This study describes the study of the global radiation(G), ultraviolet (UV), photosynthetically active radiation (PAR), infrared radiation (IV) and insolation, inside a greenhouse of polyethylene, measures in the period of March 2008 to February of 2009 in Botucatu, São Paulo, Brazil. They had been analyzed in the present study: 1 - annual, monthly and average evolution of the radiations UV/G, PAR/G and IV/G; 2 - equations of estimate for radiations UV, PAR and IV inside of the greenhouse in function of the radiations global internal and global external; 3 - annual evolution of the monthly average insolation and Ångström equation of estimate for radiations G, UV, PAR and IV inside of the greenhouse, in function of the reason of internal and external insolation. The annual evolution of radiations G, UV, PAR and IV daily monthly averages inside and outside of the greenhouse, showed that beyond the day and place, they depend on the climate, the radiations had been bigger in the summer-spring and minors in the autumn-winter. The average values total inside and outside of the greenhouse had been: GIN = 13,1MJ/m2, UVIN= 0,34MJ/m2, PARIN =6,70 MJ/m2 and IVIN = 6,15MJ/m2, GEX= 17,14MJ/m2, UVEX= 0,72MJ/m2, PAREX = 8,38 MJ/m2 and IVEX= 8.04MJ/m2. The average values total, of the fractions in percentage, inside and outside of the greenhouse had been: UVIN/GIN =2,6%; PARIN/GIN = 50,6%, IVIN/GIN= 47,1%, UVEX/GEX = 4,18%, PAREX/GEX= 48,9% and IVEX/GEX= 46,9% respectively. The equations of estimate, annual and sazonal, gotten for the irradiations Huv, Hpar and Hiv in function of radiation HIN and HEX are linear, type Y = aX, where angular coefficient it quantifies the spectral fraction percentile: annual HUVIN /HGIN = 2,6%; HPARIN/HGIN = 50,8% and HIVIN/HGIN = 46,7%, whereas the sazonal: Spring HUVIN /HGIN = 2,5%; HPARIN/HGIN = 51,7% and HIVIN/HGIN = 45,7%; Summer: HUVIN /HGIN = 2,7%; ...(Complete abstract click electronic access below)
Mestre
Arnarsdottir, Joanna, and Kristina Hansson. "Can Export Diversification Save sub-Saharan Africa from Extreme Weather? : An instrumental variable approach." Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-434996.
Повний текст джерелаKurelaitis, Justas. "SAPARD ir Lietuvos 2004-2005 m. Lietuvos bendrojo programavimo dokumento Kauno plėtros ir žuvininkystės prioriteto priemonių projektų vertinimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2006. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2005~D_20060405_101719-77935.
Повний текст джерелаThe purpose of this work to analyse projects is estimation of SAPARD programs and fourth priority of the national SPD in Lithuania, particulary the mainly attention, paying to NPA(National Paying Agency) sharping the settled acreditation criteria of EU.And offermeasures in order to improve estimation of projects in Lithuania.
Книги з теми "IV estimation"
Hahn, Jinyong. IV estimation with valid and invalid instruments. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2003.
Знайти повний текст джерелаKuersteiner, Guido M. Efficient IV estimation for autoregressive models with conditional heterogeneity. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1999.
Знайти повний текст джерелаTrees, Harry L. Van. Detection, Estimation, and Modulation Theory, Optimum Array Processing, Part IV. New York: John Wiley & Sons, Ltd., 2005.
Знайти повний текст джерелаA, Brown Joseph. Estimating and bidding for the space station processing facility, or space station processing facility government estimating, or Aerospace price book, volume IV, or how the government estimating was so accurate, or how the low bidder got low on SSPF, for AACE International 37th annual meeting, Dearborn, Michigan, July 11-14, 1993. [Washington, DC: National Aeronautics and Space Administration, 1993.
Знайти повний текст джерелаGenon-Catalot, Valentine, Denis Belomestny, Fabienne Comte, Hiroki Masuda, and Markus Reiß. Lévy Matters IV: Estimation for Discretely Observed lévy Processes. Springer London, Limited, 2014.
Знайти повний текст джерелаGenon-Catalot, Valentine, Denis Belomestny, Fabienne Comte, Hiroki Masuda, and Markus Reiß. Lévy Matters IV: Estimation for Discretely Observed Lévy Processes. Springer, 2014.
Знайти повний текст джерелаTrees, Harry L. Van. Optimum Array Processing (Detection, Estimation, and Modulation Theory, Part IV). Wiley-Interscience, 2002.
Знайти повний текст джерелаTrees, Harry L. Van. Detection, Estimation, and Modulation Theory, Set (Volumes: I,III,IV). Wiley-Interscience, 2002.
Знайти повний текст джерелаTrees, Harry L. Van. Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory. Wiley & Sons, Incorporated, John, 2008.
Знайти повний текст джерелаTrees, Harry L. Van. Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory. Wiley & Sons, Limited, John, 2002.
Знайти повний текст джерелаЧастини книг з теми "IV estimation"
Comte, Fabienne, and Valentine Genon-Catalot. "Adaptive Estimation for Lévy Processes." In Lévy Matters IV, 77–177. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12373-8_2.
Повний текст джерелаMasuda, Hiroki. "Parametric Estimation of Lévy Processes." In Lévy Matters IV, 179–286. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12373-8_3.
Повний текст джерелаMiloradov, Ljubiša M., and Slobodan P. Simonović. "Computer Package for Reservoir Yield Estimation." In Engineering Software IV, 187–201. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-662-21877-8_15.
Повний текст джерелаDey, S. K., and C. Dey. "An Explicit Finite Difference Solver by Parameter Estimation." In Engineering Software IV, 343–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-662-21877-8_26.
Повний текст джерелаBelomestny, Denis, and Markus Reiß. "Estimation and Calibration of Lévy Models via Fourier Methods." In Lévy Matters IV, 1–76. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12373-8_1.
Повний текст джерелаBanks, H. T., R. C. Smith, and Yun Wang. "Modeling and Parameter Estimation for an Imperfectly Clamped Plate." In Computation and Control IV, 23–42. Boston, MA: Birkhäuser Boston, 1995. http://dx.doi.org/10.1007/978-1-4612-2574-4_2.
Повний текст джерелаWade, J. G. "Parameter Estimation in Surface Catalysis with Reaction-Diffusion Fronts." In Computation and Control IV, 333–43. Boston, MA: Birkhäuser Boston, 1995. http://dx.doi.org/10.1007/978-1-4612-2574-4_22.
Повний текст джерелаDai, Y. Z., and F. P. Chiang. "Application of Scattering Theory to Plastic Strain Estimation." In Nondestructive Characterization of Materials IV, 283–91. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0670-0_34.
Повний текст джерелаRobbins, Herbert. "The U,V Method of Estimation." In Statistical Decision Theory and Related Topics IV, 265–70. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4613-8768-8_27.
Повний текст джерелаAvramova, Dasha A., Boris I. Synsynys, Valentina A. Romantsova, and Gennady M. Rott. "Metallothionein level estimation in the bioassay method for water quality assessment in freshwater reservoirs polluted by waste waters." In Metallothionein IV, 633–40. Basel: Birkhäuser Basel, 1999. http://dx.doi.org/10.1007/978-3-0348-8847-9_95.
Повний текст джерелаТези доповідей конференцій з теми "IV estimation"
Vicente, M. R., P. O. E. Lucas, R. D. Maia, and C. V. Leite. "REFERENCE EVAPOTRANSPIRATION ESTIMATION WITH ARTIFICIAL NEURAL NETWORKS." In IV Inovagri International Meeting. Fortaleza, Ceará, Brasil: INOVAGRI/ESALQ-USP/ABID/UFRB/INCT-EI/INCTSal/INSTITUTO FUTURE, 2017. http://dx.doi.org/10.7127/iv-inovagri-meeting-2017-res1211011.
Повний текст джерелаDarms, Michael, Matthias Komar, and Stefan Lueke. "Map based road boundary estimation." In 2010 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2010. http://dx.doi.org/10.1109/ivs.2010.5548011.
Повний текст джерелаHashemi, Ehsan, Mohammad Pirani, Baris Fidan, Amir Khajepour, Shih-ken Chen, and Bakhtiar Litkouhi. "Distributed robust vehicle state estimation." In 2017 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2017. http://dx.doi.org/10.1109/ivs.2017.7995798.
Повний текст джерелаMitra, Urbashi. "Session details: Oral presentation session IV: estimation and detection." In IPSN04: Third International Symposium on Information Processing in Sensor Networks 2004. New York, NY, USA: ACM, 2004. http://dx.doi.org/10.1145/3244191.
Повний текст джерелаBurchakov, Vladimir Anatolievich. "The competitive ability estimation of coal producers." In IV International applied research conference. TSNS Interaktiv Plus, 2016. http://dx.doi.org/10.21661/r-115598.
Повний текст джерелаKonrad, Marcus, Magdalena Szczot, and Klaus Dietmayer. "Road course estimation in occupancy grids." In 2010 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2010. http://dx.doi.org/10.1109/ivs.2010.5548041.
Повний текст джерелаAmritha, S., S. C. Subramanian, and L. Vanajakshi. "Traffic density estimation using dimensional analysis." In 2015 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2015. http://dx.doi.org/10.1109/ivs.2015.7225814.
Повний текст джерелаAkail, Naoki, Luis Yoichi Moralesl, and Hiroshi Murase. "Reliability Estimation of Vehicle Localization Result." In 2018 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2018. http://dx.doi.org/10.1109/ivs.2018.8500625.
Повний текст джерелаKarlsson, Robin, David Robert Wong, Kazunari Kawabata, Simon Thompson, and Naoki Sakai. "Probabilistic Rainfall Estimation from Automotive Lidar." In 2022 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2022. http://dx.doi.org/10.1109/iv51971.2022.9827119.
Повний текст джерелаLOPES, N. R., J. O. COSTA, A. M. ALMEIDA, R. D. COELHO, T. H. S. BARROS, and A. N. ALMEIDA. "DAILY REFERENCE EVAPOTRANSPIRATION ESTIMATION: COMPARING MODELS WITH DRAINAGE LYSIMETER READINGS." In IV Inovagri International Meeting. Fortaleza, Ceará, Brasil: INOVAGRI/ESALQ-USP/ABID/UFRB/INCT-EI/INCTSal/INSTITUTO FUTURE, 2017. http://dx.doi.org/10.7127/iv-inovagri-meeting-2017-res0250220.
Повний текст джерелаЗвіти організацій з теми "IV estimation"
Wiersman, B. J. F-Area Type IV Tank Liner Life Estimation. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/881430.
Повний текст джерелаHarding, Matthew C., Christopher Palmer, and Jerry Hausman. Finite sample bias corrected IV estimation for weak and many instruments. Institute for Fiscal Studies, July 2015. http://dx.doi.org/10.1920/wp.cem.2015.4115.
Повний текст джерелаFridman, Eyal, Jianming Yu, and Rivka Elbaum. Combining diversity within Sorghum bicolor for genomic and fine mapping of intra-allelic interactions underlying heterosis. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7597925.bard.
Повний текст джерелаKaffenberger, Michelle, and Lant Pritchett. Women’s Education May Be Even Better Than We Thought: Estimating the Gains from Education When Schooling Ain’t Learning. Research on Improving Systems of Education (RISE), September 2020. http://dx.doi.org/10.35489/bsg-rise-wp_2020/049.
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