Explore Books on
smoothing (statistics)

Multivariate Kernel Smoothing and Its Applications

By José E. Chacón,Tarn Duong

Smoothing and Regression

By Michael G. Schimek

Flexible Regression and Smoothing

By Mikis D. Stasinopoulos,Robert A. Rigby,Gillian Z. Heller,Vlasios Voudouris,Fernanda De Bastiani

Smoothing Spline ANOVA Models

By Chong Gu

Generalized Additive Models

By T. J. Hastie

Generalized additive models

By Trevor Hastie

Control theoretic splines

By Magnus Egerstedt

Smoothing splines

By Yuedong Wang

Kernel smoothing

By M. P. Wand

Smoothing methods in statistics

By Jeffrey S. Simonoff

Smoothing incomenumbers

By Joshua Ronen

Statistical Theory and Computational Aspects of Smoothing

By Austria) Compstat 94 Satellite Meeting on Smoothing (1994 Semmering

Rounding of Income Data

By Jens Ulrich Hanisch

Fixed interval smoothing for state space models

By Howard L. Weinert

Nonparametric smoothing and lack-of-fit tests

By Jeffrey D. Hart

Market demand

By Walter Trockel

Using state space models and composite estimation to measure the effects of telephone interviewing on labour force estimates

By Philip A. Bell

Market demand

By Walter Trockel

Applied smoothing techniques for data analysis

By A. W. Bowman

Kernel smoothing in MATLAB

By Ivana Horová

Smoothing of multivariate data

By Jussi Klemelä

Smoothing techniques

By W. Härdle

Predicting academic library circulations

By Terrence Alan Brooks

Market demand

By Walter Trockel