TY - JOUR AU - Burdick, Richard K AB - 234 BOOK REVIEWS the bo ok pr ovides a brief i ntroduction t o SAS , SP SS, and B MDP, alo ng wi th The lar ge number of real datasets provided i n th e b ook ha ve b een r eana- their use in perfo rming ANO VA. T he b ook also h as a chapter de voted to lyzed u sing fun ctions d eveloped in th e software R, a freely available c lone of experimental d esigns and th e co rresponding ANO VA. I n terms of coverage, S-PLUS ( Ihaka an d Gentl eman 1996), a nd t he fun ctions need ed to carry out a nice feature of th e bo ok is the i nclusion o f a chapter o n nite p opulation the a nalyses are publicly av ailable on t he a uthor’s Web p age. Exercises , using models—typ ically n ot f ound in b ooks o n e xperimental desig ns an d ANO VA. additional rea l datasets provided in the bo ok h ave b een ad ded at the en d of Several appendixes a re TI - Linear Models in Statistics JF - Technometrics DO - 10.1198/tech.2001.s587 DA - 2001-05-01 UR - https://www.deepdyve.com/lp/taylor-francis/linear-models-in-statistics-jC9uTPvzYZ SP - 234 EP - 236 VL - 43 IS - 2 DP - DeepDyve ER -