Results 281 to 290 of about 432,084 (315)

Asymptotic Estimates of Fourier Coefficients

SIAM Journal on Mathematical Analysis, 1974
Complex variable techniques are used to estimate the Fourier coefficients of functions expanded in series of Jacobi, Laguerre and Hermite polynomials.
Elliott, David, Tuan, P. D.
openaire   +2 more sources

Linear Estimates with Polynomial Coefficients

Biometrika, 1966
A common statistical problem is that of estimating the parameters It and C in a population having distribution function of the form F[(x -u l)/o-] from a complete or censored random sample taken from the population. More generally an estimate of a linear combination kl It + k2 omay be required, for example, for an estimate of a percentile of the ...
openaire   +3 more sources

Estimation of Partial Regression Coefficient

Biometrical Journal, 1993
AbstractA sampling scheme providing unbiased partial regression coefficient has been proposed. The proposed sampling scheme is not only unbiased but also superior to simple random sampling and that due to Singh and Bathla (1990) for estimation of partial regression coefficient.
Singh, Padam, Talwar, Harsh Kumari
openaire   +2 more sources

Semiparametric Estimation of Index Coefficients

Econometrica, 1989
This paper gives a solution to the problem of estimating coefficients of index models, through the estimation of the density-weighted average derivative of a general regression function. The estimators, based on sample analogues of the product moment representation of the average derivative, are constructed using nonparametric kernel estimators of the ...
Powell, James L, Stock, James H, Stoker, Thomas M   +2 more
openaire   +1 more source

Estimation of the Coefficient of Multiple Determination

Annals of the Institute of Statistical Mathematics, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pal, Nabendu, Lim, Wooi K.
openaire   +2 more sources

Estimations for Nonsymmetric Effective Coefficients

SIAM Journal on Applied Mathematics, 1994
Summary: During the past several years, several papers have been devoted to the study of composite periodic materials. In a simpler manner, the thermic conductivity of a composite material is considered here. If the periodicity directions do not coincide with the coordinate axes, the elastic matrix of components is not symmetric.
openaire   +2 more sources

Coefficient estimates

2002
Abstract These inequalities have obvious interpretations for the coefficients of trigonometric polynomials. Real trigonometric polynomials and those which are non-negative deserve to be treated separately. However, in view of Proposition 12.4.5, any estimate for the coefficients of real trigonometric polynomials has a counterpart for the
Q I Rahman, G Schmeisser
openaire   +1 more source

Estimating the Coefficients

1999
In most practical applications of soil venting directly measured model parameters are not available. However, in many cases, qualitative descriptions, such as soil protocols from boreholes, and soil survey data may be available. The following pedotransfer model and strategy to estimate model parameters from qualitative descriptions has been used and is
Horst H. Gerke, Youcef Kelanemer, Ulrich Hornung, Marián Slodička, Stephan Schumacher   +4 more
openaire   +1 more source

ADMISSIBLE ESTIMATORS OF DISCRIMINANT COEFFICIENTS

Statistics & Risk Modeling, 1991
Summary: On the basis of a multivariate normal observation with an unknown mean \(\xi\) and a covariance matrix of the form \(\sigma^ 21\), the estimation problem of the vector \(\sigma^{-2}\xi\) is considered. For a quadratic loss a necessary and sufficient condition for the admissibility of a natural estimator is obtained.
openaire   +2 more sources

Estimation of the interclass correlation coefficient

Biometrika, 1988
Suppose \(k\) independent families where each family is a sample from a simple random sampling plan consist of a parent and \(n_ i\) offsprings \((i=1,\ldots,k)\), respectively. Let \(y_ i\) denote the measurement made on the parent and \(x_ i = (x_{i1},\ldots,x_{in_ i})^ T\) denote the measurements made on the offsprings.
Srivastava, M. S., Keen, K. J.
openaire   +2 more sources