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Relevant bibliographies by topics / Threshold regression model

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Dissertations / Theses

Academic literature on the topic 'Threshold regression model'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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Dissertations / Theses on the topic "Threshold regression model"

1

Stettler, John. "The Discrete Threshold Regression Model." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440369876.

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2

Liu, Hai. "Semiparametric regression analysis of zero-inflated data." Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/308.

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Zero-inflated data abound in ecological studies as well as in other scientific and quantitative fields. Nonparametric regression with zero-inflated response may be studied via the zero-inflated generalized additive model (ZIGAM). ZIGAM assumes that the conditional distribution of the response variable belongs to the zero-inflated 1-parameter exponential family which is a probabilistic mixture of the zero atom and the 1-parameter exponential family, where the zero atom accounts for an excess of zeroes in the data. We propose the constrained zero-inflated generalized additive model (COZIGAM) for

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3

Abreu, Daniel Sebastião. "Threshold effects in the wage Phillips curve." Master's thesis, Instituto Superior de Economia e Gestão, 2018. http://hdl.handle.net/10400.5/16573.

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Mestrado em Econometria Aplicada e Previsão<br>Neste trabalho, avaliamos a capacidade da curva de Phillips salarial Neo-Keynesiana (CPSNK) proposta por Galí (2011) para descrever a inflação dos salários nos EUA durante o período 1965-2018. De forma a estudar esta relação, empregamos um modelo de regressão de limiar que nos permite examinar a existência de não-linearidades. Os nossos resultados sugerem que a taxa de inflação salarial é bem descrita por um modelo de limiar com 3 regimes em que a variável de limiar é a taxa de desemprego. As estimativas para os parâmetros de limiar dividem a CPS

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4

Koohi, Iraj. "Methods for Non-invasive Trustworthy Estimation of Arterial Blood Pressure." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35830.

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The trustworthiness of the blood pressure (BP) readings acquired by oscillometric home-based monitoring systems is a challenging issue that requires patients to see the doctor for trusted measurements, especially those who are obese or have cardiovascular diseases such as hypertension or atrial fibrillation. Even with the most accurate monitors one may get different readings if BP is repeatedly measured. Trusted BP readings are those measured with accurate devices at proper measurement conditions. The accurate monitors need an indicator to assure the trustworthiness of the measured BP. In this

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5

Race, Jonathan Andrew. "Semi-parametric Survival Analysis via Dirichlet Process Mixtures of the First Hitting Time Model." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu157357742741077.

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6

Mukhopadhyay, Shraddha. "Comparison of existing ZOI estimation methods with different model specifications and data." Thesis, Högskolan Dalarna, Mikrodataanalys, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-34397.

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With the increasing demand and interest in wind power worldwide, it is interesting to study the effects of running windfarms on the activity of reindeers and estimate the associated Zone of Influence (ZOI) relative to these disturbances. Through simulation, Hierarchical Likelihood (HL) and adaptive Lasso methods are used to estimate the ZOI of windfarms and catching the correct threshold at which the negative effect of the disturbances on the reindeer behaviour disappears. The results found some merit to the explanation that the negative effect may not disappear abruptly and more merit to the

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7

Shrestha, Shivesh. "Development of structural condition thresholds for TSD measurements." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78039.

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This thesis presents (a) results of a field evaluation of the Traffic Speed Deflectometer (TSD) in the United States (b) deflection thresholds to classify the pavement structural condition obtained from the TSD for a small subset of the Pennsylvania secondary road network. The results of the field evaluation included: (1) repeatability of the TSD, (2) ability of the TSD to identify pavement sections with varying structural conditions, and (3) consistency between the structural number (SNeff) calculated from the TSD and SNeff calculated by the Pennsylvania Department of Transportation (PennDOT)

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8

Conroy, Sara A. "A simulation study of bivariate Wiener process models for an observable marker and latent health status." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1452015350.

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9

Higa, Mali Naomi. "Determinação do limiar de anaerobiose pela análise visual gráfica e pelo modelo matemático de regressão linear bi-segmentado de Hinkley em mulheres saudáveis." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/17/17145/tde-07122006-084132/.

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O limiar de anaerobiose (LA) é definido como a intensidade de exercício físico em que a produção de energia pelo metabolismo aeróbio é suplementada pelo metabolismo anaeróbio. Este índice constitui-se de um delimitador fisiológico de grande importância para o fornecimento de informações concernentes aos principais sistemas biológicos do organismo, os quais estão envolvidos na realização de um exercício físico. O LA é um importante parâmetro de determinação da capacidade aeróbia funcional de um indivíduo. Diversos métodos são usados para estimar o LA durante exercício. Existem métodos invasivos

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10

Shao-Wei, Huang, and 黃韶偉. "The Application of Threshold Regression Model and Regression Tree Model in the Heart Disease." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ywe8um.

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碩士<br>國立嘉義大學<br>應用數學系研究所<br>106<br>Clinically, homocysteine has been shown to be an important risk factor for heart disease and can be effectively managed by monitoring. In real case, if the detected value is normal below a certain value and is abnormal after exceeding a certain value, this specific value is called “threshold”. In this study, four threshold regression models proposed by Fong et al. (2017) are used to explain the change of homocysteine before or after the threshold. Therefore, consider the homocysteine as a threshold variable and introduce its associated explanatory variable co

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