Results 261 to 270 of about 204,570 (278)

Partially Adaptive Estimation via Quantile Functions

Communications in Statistics - Simulation and Computation, 2007
The conceptual model “observation = deterministic component + stochastic compo-nent” underlies most uses of regression analysis. In this article, the deterministic part of the model is linear and we propose a new procedure of partially adaptive estimation of its parameters that responds to a broad class of problems occurring in regression analysis ...
TARSITANO, Agostino, PERRI, PIER FRANCESCO   +1 more
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Estimation of quantile density function based on regression quantiles

Statistics & Probability Letters, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dodge, Yadolah, Jurečková, Jana
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POWER EXPONENTIAL GEOMETRIC QUANTILE FUNCTION

2021
In this article, we introduced a new quantile function which is the sum of quantile functions of Power and Exponential geometric distributions. Different distributional charactaristics and reliability properties are discussed and also simulation study is conducted by using R software. Finally the new model is applied to a real data set.
Jeena Joseph , Asisha, A.P.
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Evaluating the Quantile and Density Quantile Function

1989
In this chapter (a) we start with the “pure” nonparametric, statistical model, (b) introduce smoothness conditions.
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Nonmonotone Hazard Quantile Functions

2013
The existence of nonmonotonic hazard rates was recognized from the study of human mortality three centuries ago. Among such hazard rates, ones with bathtub or upside-down bathtub shape have received considerable attention during the last five decades. Several models have been suggested to represent lifetimes possessing bathtub-shaped hazard rates.
N. Unnikrishnan Nair, P. G. Sankaran, N. Balakrishnan   +2 more
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Partial functional linear quantile regression

Science China Mathematics, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tang, Qingguo, Cheng, Longsheng
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Data Modeling Using Quantile and Density-Quantile Functions.

1980
Abstract : Statistical data modeling is a field of statistical reasoning that seeks to fit models to data without using models based on prior theory; rather one seeks to learn the model by a process which could be called statistical model identification.
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Statistical Modelling With Quantile Functions

Technometrics, 2001
(2001). Statistical Modelling With Quantile Functions. Technometrics: Vol. 43, No. 4, pp. 488-489.
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Modelling with quantile distribution functions

Journal of Applied Statistics, 1997
Summary The definition and construction of distributions are explored using parametric forms of the quantile distribution function. Short reviews are given of the identification and construction of such distribution functions, and of methods for estimation and testing.
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Estimating the Quantile-Density Function

1991
Let X 1, …, Xn be i.i.d. r.v.’s with an absolutely continuous distribution function F, quantile function Q = F -1, the inverse of F, and strictly positive density function f = F′. Define the empirical quantile function Q n by Q n(t) = X k, n if (k 1)/n > t ≤ k/n (k = 1,2,…, n), where X 1,1 ≤ … ≤ X n, n are the order statistics of the above random ...
Miklós Csörgő, Lajos Horváth, Paul Deheuvels   +2 more
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