Hasil untuk "Analysis"

B. Baltagi

C. Ritz, F. Baty, J. Streibig et al.

Dose-response analysis can be carried out using multi-purpose commercial statistical software, but except for a few special cases the analysis easily becomes cumbersome as relevant, non-standard output requires manual programming. The extension package drc for the statistical environment R provides a flexible and versatile infrastructure for dose-response analyses in general. The present version of the package, reflecting extensions and modifications over the last decade, provides a user-friendly interface to specify the model assumptions about the dose-response relationship and comes with a number of extractors for summarizing fitted models and carrying out inference on derived parameters. The aim of the present paper is to provide an overview of state-of-the-art dose-response analysis, both in terms of general concepts that have evolved and matured over the years and by means of concrete examples.

Justin Grimmer, Brandon M Stewart

L. Grafakos

J. Wiśniewski, A. Zougman, Nagarjuna Nagaraj et al.

D. Stroup, J. Berlin, S. Morton et al.

E. Ziegel, Lyman Ott

S. Mika, Gunnar Rätsch, J. Weston et al.

A non-linear classification technique based on Fisher's discriminant is proposed. The main ingredient is the kernel trick which allows the efficient computation of Fisher discriminant in feature space. The linear classification in feature space corresponds to a (powerful) non-linear decision function in input space. Large scale simulations demonstrate the competitiveness of our approach.

R. K. Singh, B. D. Chaudhary

J. Hanlan, D. Skoog, D. West

A. E. Reed, Robert A. Weinstock, F. Weinhold

P. Sprent, N. Draper, H. Smith

D. Titterington, A. F. Smith, U. Makov

R. Moore

C. Peskin

D. Kenny, D. Kashy, N. Bolger

G. Watson

B. Scholkopf, Alex Smola, K. Müller

T. Kanade, Ying-li Tian, J. Cohn

J. Kalbfleisch, R. Prentice