caa a22 4500 475793366 CHVBK 20180406123716.0 cr unu---uuuuu 170329e20001201xx s 000 0 eng 10.1007/PL00003983 doi (NATIONALLICENCE)springer-10.1007/PL00003983 Jensen D. R. Department of Statistics, Virginia Polytechnic Institute, and State University, Blacksburg, VA 24061 (E-mail: djensen@vt.edu), XX aut The use of studentized diagnostics in regression [Elektronische Daten] [D. R. Jensen] Abstract.: Recent work by LaMotte (1999) uncovered redundancies and inconsistencies in the current practice of selected deletion diagnostics in regression. The present study extends earlier work to include further diagnostics on using different methods. Benchmarks adjusted to the scale of each diagnostic are given to assure consistency across diagnostics. Case studies illustrate anomalies in the use of these diagnostics as currently practiced. Alternative diagnostics are given to gauge effects of single-case deletions on variances and biases in prediction and estimation. Springer-Verlag Berlin Heidelberg, 2000 Key words and phrases: Influence diagnostics nationallicence leverage nationallicence outliers nationallicence benchmarks nationallicence errors of interpretation nationallicence 1991 Mathematics Subject Classification. Primary: 62J05 nationallicence Secondary: 62J20 nationallicence https://doi.org/10.1007/PL00003983 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/PL00003983 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Jensen D. R. Department of Statistics, Virginia Polytechnic Institute, and State University, Blacksburg, VA 24061 (E-mail: djensen@vt.edu), XX aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer