Estimation of Population Total Using Spline Functions

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A proposed nonparametric mixture density estimation using B-spline functions

In this paper, we suppose that a density of probability f is expressed as a finite linear combination of second order B-spline functions. Then, we obtain a finite mixture of B-spline. We extend the Expectation Maximization (EM) algorithm in order to estimate the new mixture density. The experiments show that the proposed estimator using B-spline functions can produce a satisfactory estimation o...

متن کامل

Smoothing Spline Estimation of Variance Functions

This article considers spline smoothing of variance functions. We focus on selection of smoothing parameters and develop three direct data-driven methods: unbiased risk (UBR), generalized approximate cross validation (GACV) and generalized maximum likelihood (GML). In addition to guaranteed convergence, simulations show that these direct methods perform better than existing indirect UBR, genera...

متن کامل

APPROXIMATION OF 3D-PARAMETRIC FUNCTIONS BY BICUBIC B-SPLINE FUNCTIONS

In this paper we propose a method to approximate a parametric 3 D-function by bicubic B-spline functions

متن کامل

Using Spline Functions to Represent Distributed Attributes

All current G1S systems assign discrete, static attribute values to geometric objects (vector, pixel, or voxel). This is not how the world usually works. Physical objects of geographic importance are heterogeneous things. The width, depth, and flow-rate of a river, the porosity, density, and permeability of a rock body, the pressure, temperature, and velocity of the air or water, all of these t...

متن کامل

Regularized spectrum estimation using stable spline kernels

This paper presents a new regularized kernel-based approach for the estimation of the second order moments of stationary stochastic processes. The proposed estimator is defined by a Tikhonov-type variational problem. It contains few unknown parameters which can be estimated by cross validation solving a sequence of problems whose computational complexity scales linearly with the number of noisy...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: American Journal of Theoretical and Applied Statistics

سال: 2015

ISSN: 2326-8999

DOI: 10.11648/j.ajtas.20150405.20