Academic literature on the topic 'Modèle random probing'

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Journal articles on the topic "Modèle random probing"

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Jannah, Wardhatul, Ellizar Ellizar, Indang Dewata, and Rahadian Zainul. "The Correlation Of A Scientific Approach Using The Probing Prompting Technique And A Problem-Based Learning Model On Learning Outcomes On Reaction Rate Material." International Journal of Progressive Sciences and Technologies 27, no. 2 (2021): 151. http://dx.doi.org/10.52155/ijpsat.v27.2.3256.

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Abstract─This study began with the learning results on the subject of the still-low reaction rate. The purpose of this study is to discover the relationship between the scientific method and learning outcomes in the reaction rate material by using the probing prompting technique and the issue based learning model alone or combination. Quantitative research using correlational methodologies and a one-shot case study design is the approach of choice. Class XI MIPA SMAN 1 Padang and XI MIPA SMAN 14 Padang were the subjects of this research. A total of 144 persons were selected for the study using
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Dissertations / Theses on the topic "Modèle random probing"

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Taleb, Abdul Rahman. "Secure and Verified Cryptographic Implementations in the Random Probing Model." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS531.

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La contre-mesure de masquage est l'une des contre-mesures les plus puissantes pour contrer les attaques side-channel. Des modèles de fuite ont été exposés pour raisonner théoriquement sur la sécurité de telles implémentations masquées. Jusqu'à présent, le modèle de fuite le plus largement utilisé est le probing model par Ishai, Sahai et Wagner (CRYPTO 2003). Bien qu'il soit avantageux pour les preuves de sécurité, il ne capture pas un adversaire exploitant des traces de fuite complètes, comme dans les attaques horizontales. Pour capturer une classe plus large d'attaques, un autre modèle a été
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Albuquerque, André Massena de. "Sovereign credit rating mismatches." Master's thesis, Instituto Superior de Economia e Gestão, 2016. http://hdl.handle.net/10400.5/12629.

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Mestrado em Economia Monetária e Financeira<br>Este trabalho analisa que fatores, entre os determinantes de ratings soberanos encontrados na literatura, são responsáveis pelas diferenças entre os ratings de crédito soberanos de diferentes agências de rating, no período 1980-2015. Para tal, utilizaram-se modelos probit ordenados e simples de efeitos aleatórios com o objetivo de avaliar o poder explicativo de um conjunto de variáveis macroeconómicas e governamentais. Os resultados obtidos com os modelos estimados indicam que o saldo estrutural e a existência de um default nos últimos dez anos sã
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Passinhas, Joana Luzia Monteiro. "Estimating gender differences in the probability of unemployment : evidence from Portugal." Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/14715.

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Mestrado em Econometria Aplicada e Previsão<br>Através de um modelo dinâmico probit de efeitos aleatórios, estimou-se a probabilidade de desemprego em Portugal de forma a avaliar se existem diferenças entre géneros nos efeitos parciais médios e na persistência do desemprego. Os dados utilizados provêm do Inquérito ao Rendimento e Condições de Vida (ICOR) para o período entre 2010 e 2013. A estimação é feita ao mesmo tempo que se controla pela heterogeneidade individual não observada e pelo problema das condições iniciais, que ocorre pelo fato de não se conhecer o processo estocástico que origi
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Silva, Eveliny Barroso da. "Modelos dinâmicos de resposta binária para dados em painel." Universidade Federal de São Carlos, 2008. https://repositorio.ufscar.br/handle/ufscar/4522.

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Made available in DSpace on 2016-06-02T20:06:01Z (GMT). No. of bitstreams: 1 2049.pdf: 560086 bytes, checksum: 32b955d6a93e81457f49b0418b1e9514 (MD5) Previous issue date: 2008-06-06<br>Financiadora de Estudos e Projetos<br>A summary of the state of the art relative to regression models for binary response variable and panel data is presented in this work. Those models may include efects from several sources: specific variables of interest, heterogeneity between individuals and lagged values of the response variable. The original contributions of the author are simulation studies to compare t
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Book chapters on the topic "Modèle random probing"

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Egger, Peter H., and Michaela Kesina. "Estimating Dynamic Probit Models with Higher-order Time- and Network-lag Structure and Correlated Random Effects." In Advanced Studies in Theoretical and Applied Econometrics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-92699-0_8.

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Williams, David A. "Overdispersion in logistic-linear models." In Statistics in Toxicology. Oxford University PressOxford, 1996. http://dx.doi.org/10.1093/oso/9780198523291.003.0007.

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Abstract The logistic-linear model is well established as the basis for analysing regression data, or data from a designed experiment, when the response variable is a proportion. Suppose that the data consist of a set of n cases. In the ith case ri successes, mi - ri failures, and a vector Xi of p explanatory variables are recorded. The logistic-linear model assumes that the ri are realizations of random variables Ri distributed independently Binomial(mi, θi), where θi is related to a linear predictor through the logistic link logit(θi) = log{θi/(l - θi)} = ηi;• An alternative link is the prob
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Anderson, Raymond A. "Predictive Modelling Techniques." In Credit Intelligence & Modelling. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192844194.003.0014.

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This chapter covers commonly-used supervised-learning techniques and combinations, with guidance on choices. (1) A view from on high—i) caveats—data dependency of predictive modelling; ii) language—in academic literature for representation of formulae and concepts. (2) Parametric—make assumptions about the relationships between predictors and predicted, and their distributions {linear regression, linear probability modelling (LPM), probit/logit, discriminant analysis, linear programming}. (3) Non-parametric—require few or no assumptions {k-nearest neighbours, Decisions Trees and Random Forests
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Singh, Ajay Kumar, and Santosh Singh. "A Case Study From Kanpur Nagar, Uttar Pradesh for Assessing the Economic Value of Water and Its Determinants." In Water-Soil-Plant-Animal Nexus in the Era of Climate Change. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-9838-5.ch010.

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The chapter applied a willingness to pay ability (WPA) approach to estimate the economic value of drinking water (EVM) using primary data. The sample of 350 households are randomly taken from four wards of Kanpur Nagar, Uttar Pradesh (India). Simple OLS, probit, logit, and mixed-effect logit regression models are applied to examine the effect of social- economic variables on WPA of households to receive better water supply from suppliers. It found that the municipality is charging a very low price to provide water supply of 30 Kilolitre/household per month. However, implicit cost (IC) of water
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Qiao, Yu, Milhan Moomen, Zhibo Zhang, Tariq Usman Saeed, Bismark Agbelie, and Samuel Labi. "Accounting for observation-specific correlation in deterioration modeling of bridge components using binary probit models with random effects." In Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks. CRC Press, 2016. http://dx.doi.org/10.1201/9781315207681-206.

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Reports on the topic "Modèle random probing"

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Tong, Kimsun, Socheth Hem, and Paulo Santos. What Limits Agricultural Intensification in Cambodia? The Role of Emigration, Agricultural Extension Services and Credit Constraints. Cambodia Development Resource Institute, 2011. https://doi.org/10.64202/wp.56.201107.

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This paper attempts to define the factors which determine emigration and rice doublecropping, i.e. rice cultivation on the same plot twice per year, by rural households in Cambodia, and investigates whether these decisions influence each other using data from a two-period panel survey of 231 households in three provinces in rural Cambodia. In the analysis, we take into account possible correlation between these decisions (through estimating a seemingly unrelated bivariate probit model) and unobserved heterogeneity among farmers (through estimating a random-effects probit model). It is found th
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Ogunbire, Abimbola, Panick Kalambay, Hardik Gajera, and Srinivas Pulugurtha. Deep Learning, Machine Learning, or Statistical Models for Weather-related Crash Severity Prediction. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2320.

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Nearly 5,000 people are killed and more than 418,000 are injured in weather-related traffic incidents each year. Assessments of the effectiveness of statistical models applied to crash severity prediction compared to machine learning (ML) and deep learning techniques (DL) help researchers and practitioners know what models are most effective under specific conditions. Given the class imbalance in crash data, the synthetic minority over-sampling technique for nominal (SMOTE-N) data was employed to generate synthetic samples for the minority class. The ordered logit model (OLM) and the ordered p
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Winters, Paul, Maria Heracleous, and Mario González. Conditional Cash Transfers and Schooling Decisions: Evidence from Urban Mexico. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011761.

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Using administrative data from the urban Mexican Oportunidades program, this paper analyzes why poor households choose less education for their children, even when offered financial compensation for school attendance. Each school year, half of recipients forgo income for which they are eligible by failing to send children to school. Using a random effects probit and fractional response model, the analysis provides strong evidence that the poorest households, those with more dependents and high school students, recipients with limited education, and those living in large urban areas are less li
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Hernandez Vega, Marco A., and Eduardo Martínez González. Do climate policies incentivize firms to commit to setting a GHG emissions target? Banco de México, 2025. https://doi.org/10.36095/banxico/di.2025.08.

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Since the 2016 Paris Agreement, countries and companies have been increasingly pressured to adopt appropriate response measures to climate change. However, it is not clear what factors drive firms to undertake climate change actions. Using a correlated random effects panel probit model, this paper contributes to the literature by analyzing the influence of advances in climate policies, as measured by the Climate Change Performance Index, on firms committing to set a greenhouse gas (GHG) emissions target. We find that advances in national climate policies are associated with a higher probabilit
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Mohammadian, Abolfazl, Ehsan Rahimi, Mohammadjavad Javadinasr, et al. Analyzing the Impacts of a Successful Diffusion of Shared E-Scooters and Other Micromobility Devices and Efficient Management Strategies for Successful Operations in Illinois. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-006.

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Active transportation can play an important role in promoting more physically active and positive public health outcomes. While walking and biking provide significant physical health benefits, their modal share remains low. As a new form of micromobility service, shared e-scooters can enhance the suite of options available in cities to promote active transportation and fill in the gaps when walking or biking are not preferred. Although e-scooters show potential as a mode of transportation, it is unclear whether people will adopt the technology for everyday use. Furthermore, shared micromobilit
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