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Relevant bibliographies by topics / Estimation par interval

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Journal articles

Academic literature on the topic 'Estimation par interval'

Author: Grafiati

Published: 14 September 2024

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Journal articles on the topic "Estimation par interval"

1

Magnussen, Steen, and Johannes Breidenbach. "Retrieval of among-stand variances from one observation per stand." Journal of Forest Science 66, No. 4 (2020): 133–49. http://dx.doi.org/10.17221/141/2019-jfs.

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Forest inventories provide predictions of stand means on a routine basis from models with auxiliary variables from remote sensing as predictors and response variables from field data. Many forest inventory sampling designs do not afford a direct estimation of the among-stand variance. As consequence, the confidence interval for a model-based prediction of a stand mean is typically too narrow. We propose a new method to compute (from empirical regression residuals) an among-stand variance under sample designs that stratify sample selections by an auxiliary variable, but otherwise do not allow a

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Gomez, Mayra, Roberta Cimmino, Dario Rossi, et al. "The present of Italian Mediterranean buffalo: precision breeding based on multi-omics data." Acta IMEKO 12, no. 4 (2023): 1–4. http://dx.doi.org/10.21014/actaimeko.v12i4.1692.

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Genetic evaluation in the Italian Mediterranean Buffalo (IMB) traditionally relied on the BLUP method (best linear unbiased predictor), a mixed model system incorporating both random and fixed effects simultaneously. However, recent advancements in genome sequencing technologies have opened up the opportunity to incorporate genomic information into genetic evaluations. The ssGBLUP (single-step best linear unbiased predictor) has become the method par excellence. It replaces the traditional relationship matrix with one that combines pedigree and genomic relationships, allowing for the estimatio

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Bochenina, Marina V. "Price Forecasting in the Housing Market amid Changes in the Primary Trend." Теория и практика общественного развития, no. 8 (August 30, 2023): 137–42. http://dx.doi.org/10.24158/tipor.2023.8.16.

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The development of digital technologies contributes to the growth of the use of nonparametric methods. The presented study proposes a methodology for the forecast assessment of prices in the residential real estate market, taking into account the possible determination of the direction of dynamics in the anticipation period based on the application of nonparametric Nadaraya – Watson estimation. The forecast model construction in the work is considered on the basis of the historically established tendency of determination of the price level of the primary or secondary housing market of Krasnoda

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Krishna, Hare, Madhulika Dube, and Renu Garg. "Estimation of Stress Strength Reliability of Inverse Weibull Distribution under Progressive First Failure Censoring." Austrian Journal of Statistics 48, no. 1 (2018): 14–37. http://dx.doi.org/10.17713/ajs.v47i4.638.

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In this article, estimation of stress-strength reliability $\delta=P\left(Y<X\right)$ based on progressively first failure censored data from two independent inverse Weibull distributions with different shape and scale parameters is studied. Maximum likelihood estimator and asymptotic confidence interval of $\delta$ are obtained. Bayes estimator of $\delta$ under generalized entropy loss function using non-informative and gamma informative priors is derived. Also, highest posterior density credible interval of $\delta$ is constructed. Markov Chain Monte Carlo (MCMC) technique is used for Ba

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Radović, Dunja, and Mirko Stojčić. "Predictive modeling of critical headway based on machine learning techniques." Tehnika 77, no. 3 (2022): 354–59. http://dx.doi.org/10.5937/tehnika2203354r.

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Due to the impossibility of directly measuring of critical headway, numerous methods and procedures have been developed for its estimation. This paper uses the maximum likelihood method for estimating the same at five roundabouts, and based on the obtained results and pairs of accepted and maximum rejected headways, several predictive models based on machine learning techniques were trained and tested. Therefore, the main goal of the research is to create a model for the prediction (classification) of the critical headway, which as inputs, i.e. independent variables use pairs - accepted and ma

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Queiroga, F., J. Epstein, M. L. Erpelding, et al. "AB1678 CONSTRUCTION OF A COMPOSITE SCORE FOR PATIENT SELF-REPORT OF FLARE IN OSTEOARTHRITIS: A COMPARISON OF METHODS WITH THE FLARE-OA-16 QUESTIONNAIRE." Annals of the Rheumatic Diseases 82, Suppl 1 (2023): 2076.1–2077. http://dx.doi.org/10.1136/annrheumdis-2023-eular.1380.

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BackgroundHaving a score to assess the occurrence and severity of flares of knee or hip osteoarthritis (OA) to guide interventions is essential.ObjectivesTo compare different methods of constructing a composite score for the Flare-OA-16 self-reported questionnaire for measuring knee and hip OA flare, defined as a cluster of symptoms of sufficient duration and intensity to require initiation, change or increase in therapy [1].MethodsParticipants with a physician diagnosis of knee and hip OA completed a validated 16-item questionnaire [2,3] assessing five dimensions of flare in OA: pain, swellin

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Mihailovic, Zoran, Tatjana Atanasijevic, Vesna Popovic, Miroslav B. Milosevic, and Jan P. Sperhake. "Estimation of the Postmortem Interval by Analyzing Potassium in the Vitreous Humor." American Journal of Forensic Medicine and Pathology 33, no. 4 (2012): 400–403. http://dx.doi.org/10.1097/paf.0b013e31826627d0.

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8

Youn Ta, Marc, Amandine Carine Njeugeut Mbiafeu, Jean-Robert Kamenan Satti, Tchimou Vincent Assoma, and Jean Patrice Jourda. "Cartographie Automatique des Zones Inondées et Evaluation des Dommages dans le District d’Abidjan depuis Google Earth Engine." European Scientific Journal, ESJ 19, no. 32 (2023): 54. http://dx.doi.org/10.19044/esj.2023.v19n32p54.

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L'objectif de cette étude est de générer automatiquement des cartes de l'étendue des zones inondées dans le district d'Abidjan et d’évaluer les dommages causés. L’approche méthodologique a consisté à cartographier l'étendue des zones inondées en utilisant une méthode de détection des changements basée sur les données Sentinel-1 (SAR) avant et après une crue spécifique. Ensuite, les différentes classes d'enjeux (telles que les cultures, les zones habitées, les bâtiments, les routes et la densité de la population) ont été extraites à partir de diverses sources de données gratuites. Puis la super

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9

Nikulchev, Evgeny, and Alexander Chervyakov. "Prediction Intervals: A Geometric View." Symmetry 15, no. 4 (2023): 781. http://dx.doi.org/10.3390/sym15040781.

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This article provides a review of the approaches to the construction of prediction intervals. To increase the reliability of prediction, point prediction methods are replaced by intervals for many aims. The interval prediction generates a pair as future values, including the upper and lower bounds for each prediction point. That is, according to historical data, which include a graph of a continuous and discrete function, two functions will be obtained as a prediction, i.e., the upper and lower bounds of estimation. In this case, the prediction boundaries should provide guaranteed probability

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Gubarev, Vyacheslav, Serhiy Melnychuk, and Nikolay Salnikov. "METHOD AND ALGORITHMS FOR CALCULATING HIGH-PRECISION ORIENTATION AND MUTUAL BINDING OF COORDINATE SYSTEMS OF SPACECRAFT STAR TRACKERS CLUSTER BASED ON INACCURATE MEASUREMENTS." Journal of Automation and Information sciences 1 (January 1, 2022): 74–92. http://dx.doi.org/10.34229/1028-0979-2022-1-8.

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The problem of increasing the accuracy of determining the orientation of a spacecraft (SC) using a system of star trackers (ST) is considered. Methods are proposed that make it possible to use a joint field of view and refine the relative position of ST to improve the accuracy of orientation determination. The use of several star trackers leads to an increase in the angle between the directions to the stars into the joint field of view, which makes it possible to reduce the condition number of the matrices used in calculating the orientation parameters. The paper develops a combinatorial metho

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