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बूटस्ट्रैप अनुमान×क्वांटाइल रिग्रेशन (गैर-पैरामीट्रिक प्रकार)×
क्षेत्रसांख्यिकीसांख्यिकी
परिवारRegression modelRegression model
उद्भव वर्ष19791978
प्रवर्तकBradley EfronKoenker & Bassett
प्रकारResampling-based inferenceQuantile regression (nonparametric variants)
मौलिक स्रोतEfron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗Koenker, R. & Bassett, G. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗
उपनामbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımıquantile regression, median regression, distribution-free quantile regression, Kantil Regresyon (Nonparametric Varyantlar)
संबंधित55
सारांशBootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples.Quantile regression, introduced by Koenker and Bassett in 1978, models a chosen conditional quantile (such as the median or the 25th and 75th percentiles) of a continuous outcome rather than its mean. Its nonparametric variants fit these quantile relationships without assuming a distribution for the errors, making them a robust complement to mean-based regression on skewed data.
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  3. PUBLISHED

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