Relevant bibliographies by topics / Random probing model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Random probing model'

Author: Grafiati
Published: 15 February 2024
Last updated: 31 July 2025

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Journal articles on the topic "Random probing model"

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Béguinot, Julien, and Loïc Masure. "On the Average Random Probing Model." IACR Transactions on Cryptographic Hardware and Embedded Systems 2025, no. 3 (2025): 32–55. https://doi.org/10.46586/tches.v2025.i3.32-55.

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Masking is one of the main countermeasures against side-channel analysis since it relies on provable security. In this context, “provable” means that a security bound can be exhibited for the masked implementation through a theoretical analysis in a given threat model. The main goal in this line of research is therefore to provide the tightest security bound, in the most realistic model, in the most generic way. Yet, all of these objectives cannot be reached together. That is why the masking literature has introduced a large spectrum of threat models and reductions between them, depending on t
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Wang, Bohan, Fanjie Ji, Yiteng Sun, and Weijia Wang. "Random Probing Security with Precomputation." IACR Transactions on Cryptographic Hardware and Embedded Systems 2025, no. 1 (2024): 523–51. https://doi.org/10.46586/tches.v2025.i1.523-551.

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At Eurocrypt 2014, Duc, Dziembowski and Faust proposed the random probing model to bridge the gap between the probing model proposed at Crypto 2003 and the noisy model proposed at Eurocrypt 2013. Compared with the probing model whose noise in the leakages should (linearly) increase with the number of shares, the random probing model allows each variable leak its value with a probability p, which reflects the physical reality of side channels much better. In Crypto 2020, Belaïd et al. proposed the Random Probing Expandability (RPE) security ensuring the random probing security for arbitrary ord
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Sartika, Nenden Suciyati, and Susti Rahmah Yulita. "Penerapan Model Pembelajaran Probing-Prompting untuk Meningkatkan Kemampuan Koneksi Matematis." GAUSS: Jurnal Pendidikan Matematika 1, no. 2 (2019): 149–59. http://dx.doi.org/10.30656/gauss.v1i2.1038.

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Penelitian ini bertujuan utuk mengetahui dan mendapatkan data aktual tentang penerapan model pembelajaran probing-prompting untuk meningkatkan kemampuan koneksi matematika siswa. Penelitian ini dilakukan di SMA Negeri 3 Pandeglang tahun ajaran 2018/2019. Metode yang digunakan adalah metode kuasi eksperimen. Sampel yang digunakan dalam penelitin ini adalah kelas XI MIA 2 sebagai kelas eksperimen dan XI MIA 3 sebagai kelas kontrol yang ditentukan melalui teknik Cluster Random Sampling. Kelas eksperimen pembelajarannya menggunakan model pembelajaran probing-prompting, dan kelas kontrol menggunaka
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Manoppo, Risnawati, Sarson W. Dj Pomalato, Siti Zakiyah, and Melisa Mutiara Lestari Puloo. "Pengaruh Model Pembelajaran Probing Prompting Terhadap Hasil Belajar Siswa Pada Materi Segiempat." Jambura Journal of Mathematics Education 3, no. 2 (2022): 93–99. http://dx.doi.org/10.34312/jmathedu.v3i2.15604.

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This article discusses the Effect of the Probing Prompting Learning Model on Students’ Learning Outcomes in a Rectangular topic to know the differences in learning outcomes of students whose learning uses the Probing Prompting Learning Model and learning outcomes of students whose learning uses the direct Learning Model in Rectangular topic. The method used is an experimental design with a pretest-posttest control group design. The sampling technique used cluster random sampling and the technique of data collection through tests in the form of essays. The result of the research showed that the
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Septarina, Eva, Sodikin Sodikin, and Yahya AD. "Efektivitas Model Pembelajaran Probing Prompting dan Numbered Heads Together (NHT) Terhadap Kemampuan Berpikir Kritis." Indonesian Journal of Science and Mathematics Education 2, no. 1 (2019): 46–54. http://dx.doi.org/10.24042/ijsme.v2i1.3971.

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Abstract: This study was conducted to find out (1) is there any influence of the probing prompting and numbered heads together learning model on students 'critical thinking abilities (2) which is the more effective learning model between the prompting and numbered heads together probing learning model on students' critical thinking skills . This research is a Quasi Experimental Design. The population in this study was all class X SMA N 1 Tiga Reviewed, the sampling technique was random sampling technique. The sample in this study used 2 classes, class X Mipa1 as the experimental class 1 and cl
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Kristin, Ninda, Candra Ditasona, and Jitu Halomoan Lumbantoruan. "Kemampuan Berpikir Kritis Matematis Siswa: Studi dengan Model Probing-Prompting dan Konvensional." Brillo Journal 1, no. 1 (2021): 20–28. http://dx.doi.org/10.56773/bj.v1i1.7.

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This study aims to determine how students critical thinking ability who study with probing-prompting and conventional learning models are. This research is a quantitatif research with a quasi-experimental design group. The research population was all students of class X SMK Setih Setio 2 Muara Bungo, Jambi. The research sample consisted of two classes with a sample size of 62 people determined by simple random sampling, namely X MM as the control class using the conventional learning model and X AK as the experimental class using the Probing-Prompting learning model. Requirements analysis test
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Sri Kartika Dewi, Ni Wayan, Desak Putu Parmiti, and I. Gusti Ngurah Japa. "PENGARUH MODEL PEMBELAJARAN PROBING PROMPTING BERBANTUAN MEDIA VIDEO TERHADAP HASIL BELAJAR IPA." Indonesian Journal Of Educational Research and Review 2, no. 2 (2019): 229. http://dx.doi.org/10.23887/ijerr.v2i2.17631.

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Penelitian ini bertujuan untuk mengetahui pengaruh yang signifikan model pembelajaran probing-prompting berbantuan media video terhadap hasil belajar IPA siswa kelas V SD di gugus V Kecamatan Bangli Tahun Ajaran 2018.Penelitian ini adalah penelitian semu (quasi eksperimen),denganrancangan nonequivalent posttest only control group design. Populasi penelitian ini adalah seluruh kelas V SD di Gugus V Kecamatan Bangli. Sampel penelitian ini adalah kelas V SDN 3 Kayubihi dan SDN 1 Landih. Sampel ditentukan menggunakan teknik random sampling. Data hasil belajar dikumpulkan menggunakan tes pilihan ga
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Nurul Thaniya Safitri, Ellis Salsabila, and Mimi Nur Hajizah. "Pengaruh Model Pembelajaran Kooperatif Tipe Probing Prompting Berbantuan LKS Terstruktur Terhadap Kemampuan Pemecahan Masalah Matematis Siswa SMA Negeri 31 Jakarta." JURNAL RISET PEMBELAJARAN MATEMATIKA SEKOLAH 3, no. 2 (2019): 27–36. http://dx.doi.org/10.21009/jrpms.032.04.

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Penelitian ini merupakan penelitian kuantitatif yang bertujuan untuk mengetahui apakah terdapat pengaruh model pembelajaran Kooperatif tipe Probing Prompting berbantuan LKS Terstruktur terhadap kemampuan pemecahan masalah matematis siswa SMA Negeri 31 Jakarta. Metode penelitian yang digunakan adalah metode eksperimen semu (quasi experiment). Instrumen penelitian yang digunakan adalah instrumen tes kemampuan pemecahan masalah matematis berupa 5 soal uraian yang telah dinyatakan valid. Populasi target penelitian adalah seluruh siswa SMA Negeri 31 Jakarta. Populasi terjangkau penelitian adalah si
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Nasution, Abd Haris, and Adelia Safitri. "PENGARUH MODEL PROBING PROMTING TERHADAP HASIL BELAJAR SISWA DALAM PEMBELAJARAN SEJARAH KELAS X SMA NEGERI 15 MEDAN T.A 2018/2019." Puteri Hijau : Jurnal Pendidikan Sejarah 4, no. 2 (2019): 135. http://dx.doi.org/10.24114/ph.v4i2.16302.

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Penelitian ini bertujuan untuk mengetahui pengaruh model Probing Promting dalam meningkatkan hasil belajar siswa dalam pembelejaran sejarah. Penelitian ini merupakan penelitian kuantitatif dengan desain penelitian eksperimen, yaitu ada perbedaan perlakukan antara kedua kelas eksperimen dan kelas kontrol agar dapat dilihat perbedaannya. Populasi penelitian ini adalah kelas X SMA Negeri 15 Medan yang terdiri dari 6 kelas dengan jumlah seluruh siswa 210 orang. Pengambilan sampel dalam penelitian ini menggunakan teknik acak atau random sampling, dimana kelas eksperimen adalah kelas X Ips 1 yang di
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Alifianti, Ingga, Sudargo Sudargo, and Muhammad Saifuddin Zuhri. "Efektivitas Model Probing Prompting dan Model LAPS-Heuristik Berbantu Adobe Flash CS3 Terhadap Hasil Belajar Siswa SMA." Imajiner: Jurnal Matematika dan Pendidikan Matematika 2, no. 6 (2020): 519–25. http://dx.doi.org/10.26877/imajiner.v2i6.6866.

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Penelitian ini bertujuan mengetahui keefektifan model pembelajaran Probing Prompting dan LAPS-Heuristik berbantu Adobe Flash CS3 terhadap hasil belajar siswa, terdapat perbedaan hasil belajar siswa antara penerapan model Probing Prompting dan LAPS-Heuristik berbantu Adobe Flash CS3 dan pembelajaran Konvensional dengan metode ceramah. Populasi penelitian adalah siswa kelas XI SMA Unggulan Pondok Modern Selamat Kendal Tahun Ajaran 2020/2021. Dengan menggunakan cluster random sampling diperoleh kelas XI MIPA C sebagai kelas eksperimen 1 atau model pembelajaran Probing Prompting berbantu Adobe Fla
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Dissertations / Theses on the topic "Random probing model"

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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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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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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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Basu, Nandita. "Pedestrian route choice behaviour: Influences of built environment on route preference, safety and security." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/236797/1/Thesis_Nandita%2BBasu_24112022.pdf.

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Built environment factors influence pedestrian route choice behaviour, but their impact is not well known. This thesis investigates the influences of the built environment factors on walking route preference and safety. By using the ‘Physical Activity through Sustainable Transport Approaches’ framework, this research studied the perceptions and preferences of pedestrian route choice in a typical suburban environment in Australia through a stated preference survey. This thesis has established the interrelationship between safety, security, and built environment factors across men and women pede
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Li, Xibao. "Learning From the Implementation of Residential Optional Time of Use Pricing in the U.S. Electricity Industry." The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1047271855.

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Ndunda, E. N. (Ezekiel Nthee). "Wastewater reuse in urban and peri-urban irrigation : an economic assessment of improved wastewater treatment, low-risk adaptations and risk awareness in Nairobi, Kenya." Thesis, University of Pretoria, 2013. http://hdl.handle.net/2263/40235.

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The overall goal of this study was to analyse the welfare effect of improved wastewater treatment with the view of making policy recommendations for sustainable urban and peri-urban irrigation agriculture in Kenya. This goal was achieved by investigating three specific objectives. The first objective was to assess the farmers’ awareness of health risks in urban and peri-urban wastewater irrigation. Second objective was to analyse the factors that affect the choice of low-risk adaptations in reuse of untreated wastewater for irrigation. The third objective was to estimate the value that urban a
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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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SAMPALEAN, NICULINA IUDITA. "ESPLORAZIONE DEL COMPORTAMENTO DEI CONSUMATORI NEI CONFRONTI DELLE DIVERSE ETICHETTE RELATIVE AGLI ALIMENTI DI QUALITÀ CERTIFICATA DALL'UNIONE EUROPEA." Doctoral thesis, Università Cattolica del Sacro Cuore, 2022. http://hdl.handle.net/10280/115280.

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Qualsiasi prodotto alimentare che si trova sul mercato contiene diverse etichette che aiutano i consumatori nel loro processo decisionale quando fanno acquisti. Questo aiuto può essere garantito solo se i consumatori comprendono il significato di queste etichette, le differenze tra loro e le informazioni che certificano. La tesi ha esplorato il ruolo delle etichette nel settore del marketing alimentare usando studi condotti sull'approccio del consumatore. Utilizzando diversi metodi (statistici ed econometrici), abbiamo analizzato le percezioni, la consapevolezza e la conoscenza dei consumator
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Bouhlal, Yasser. "A Retrospective and Prospective Analysis of the Demand for Cheese Varieties in the United States." Thesis, 2012. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10745.

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The United States cheese consumption has grown considerably over the years. Using Nielsen Homescan panel data for calendar years 2005 and 2006, this dissertation examines the effect of economic and socio-demographic factors on the demand for disaggregated cheese varieties and on the cheese industry in general. In the first essay, we estimated the censored demand for 14 cheese varieties and identified the respective own-price and cross-price elasticities. Also, non-price factors were determined affecting the purchase of each variety as well as the impact of generic dairy advertising. Results re
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(6992318), Tariq Usman Saeed. "Road Infrastructure Readiness for Autonomous Vehicles." Thesis, 2019.

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Contemporary research indicates that the era of autonomous vehicles (AVs) is not only inevitable but may be reached sooner than expected; however, not enough research has been done to address road infrastructure readiness for supporting AV operations. Highway agencies at all levels of governments seek to identify the needed infrastructure changes to facilitate the successful integration of AVs into the existing roadway system. Given multiple sources of uncertainty particularly the market penetration of AVs, agencies find it difficult to justify the substantial investments needed to make these
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Books on the topic "Random probing model"

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Arulampalam, Wiji. A note on estimated coefficients in random effects probit models. University of Warwick, Department of Economics, 1998.

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Book chapters on the topic "Random probing model"

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Belaïd, Sonia, Matthieu Rivain, and Abdul Rahman Taleb. "On the Power of Expansion: More Efficient Constructions in the Random Probing Model." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77886-6_11.

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Nobile, Agostino, Chandra R. Bhat, and Eric I. Pas. "A Random-Effects Multinomial Probit Model of Car Ownership Choice." In Case Studies in Bayesian Statistics. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-2290-3_13.

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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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Dwivedi, Laxmi Kant, and Mukesh Ranjan. "Sibling Death Clustering Among the Tribes of Central and Eastern India: An Application of Random Effects Dynamic Probit Model." In Demography and Health Issues. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76002-5_28.

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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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Onuwa, Godfrey C. "Determinants of Microcredit Access to SMEs From Abia State University Microfinance Bank." In Advances in Human Resources Management and Organizational Development. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5666-8.ch010.

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Access to microcredit is very vital in raising firm profitability and productivity, particularly for SMEs; it is a strategy for improved financial inclusion. Thus, the determinants of microcredit access to SMEs from Abia State University (ABSU) Microfinance Bank (MfB) were analyzed. Data generated via snowballing and simple random sampling was analyzed using descriptive statistics and Probit regression model. The socio-economic factors affected access to microcredit. The average amount of microcredit disbursed by the MfB was ₦109,500. Most (75%) invested in agricultural production and retail/p
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Hildah Lefophane, Mapula, Motsatsi Morwatshehla, and Victor Mbulaheni Mmbengwa. "Examining Food Purchasing Behavior of Rural Households in South Africa Post-COVID-19 Lockdown Restrictions." In Post-COVID-19 Society and Profound Societal Shifts [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1010072.

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This study examines food purchasing behavior among rural households in South Africa post-lockdown restrictions and the socio-demographic factors influencing these behaviors. Primary data were collected from 327 households in Mokgolobotho village through face-to-face interviews, using simple random sampling. A Likert scale, Chi-square analysis, and an Ordered Probit model were employed for the analysis. The findings indicate that most households purchased food more frequently post-lockdown, with fresh produce, dairy, snacks, fast food, prepared food, and alcoholic beverages purchased more often
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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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Conference papers on the topic "Random probing model"

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Jiang, Houfu, Yanfeng Shen, and Yegao Qu. "Damage Detection and Imaging for Composite Storage Tanks Utilizing Ultrasonic Guided Waves." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-145303.

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Abstract Storage tanks, widely used for containing hazardous or high-pressure gases, are susceptible to damage due to factors like corrosion, cyclic inflations, and external impacts. The failure to promptly and accurately detect such damage can lead to catastrophic events, including leaks, explosions, and environmental contamination, posing severe risks to public health and safety. Moreover, timely detection plays a crucial role in maintaining the operational efficiency of storage facilities, avoiding costly downtime and ensuring compliance with strict safety regulations. Therefore, the detect
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Dumas, Louise, Guillaume Bascoul, Christina Villeneuve-Faure, François Marc, Hélène Fremont, and Christophe Guerin. "Nanoprobing on an MRAM Cell, Following a Backside Opening, to Extract Logical Data." In ISTFA 2023. ASM International, 2023. http://dx.doi.org/10.31399/asm.cp.istfa2023p0411.

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Abstract The direct measurement of the memory state (i.e. bit at “0” or at “1”) on single magnetic tunnel junction (MTJ) in a commercial magnetic random access memory (MRAM) remains challenging. In this paper, we propose a probing approach to investigate the MTJ resistance and by this way determine the memory state. To reach this goal, the MRAM device needs to be prepared to create an electrical access to both sides of the MTJs. The suitable methodology consists in a backside preparation routine that creates a bevel allowing us to access the bottom side of the MTJs through vias and the top sid
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Sun, Ming, Ronggui Zhou, and Chengwu Jiao. "Exploring HAZMAT Truck Risk Factors with Driver Monitoring Systems Data Using Random Parameter Ordered Probit Model." In 22nd COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484265.160.

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Ogunyemi, Oluwole I. (PhD). "Effect of Poultry Farmers’ Socioeconomic Features on Selected Production Limiting Factors in Southwest Nigeria." In Advances in Multidisciplinary and Scientific Research Journal Publication. Society for Multidisciplinary and Advanced Research Techniques - Creative Research Publishers, 2022. http://dx.doi.org/10.22624/aims/isteams/lasustech2022v30p6.

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Poultry farmers are faced with many problems that reduce their capacity utilisation. The challenges have made a lot of poultry entrepreneurs to leave the business compellingly. Many interventions have been applied to solve production problems of the poultry farmers but they have not given the desired results. Also, literatures on poultry production in Nigeria are many and growing focusing mainly on production, economic and marketing research questions. Few have linked the socio-economic factors of poultry farmers with production management and challenges. The research, therefore, analysed the
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Reports on the topic "Random probing model"

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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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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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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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