LEADER 00000cam 2200685K 4500 001 ocn300787603 003 OCoLC 005 20210220120758.0 006 m o d 007 cr unu---uuaua 008 090131s1962 nyua ob 001 0 eng d 010 61013174 015 GB6214274|2bnb 016 7 0050477|2DNLM 019 320899828|a644344385|a961595683|a962728363|a988782198 |a1001709282|a1003358409|a1006231136|a1016022461 |a1043483010|a1044346989|a1048288080|a1056340496 |a1056404081|a1057991396|a1060884809|a1073051454 |a1079890852|a1091745331|a1096665133|a1119080241 |a1129188341|a1167200409|a1229845386|a1237510204 035 (OCoLC)300787603|z(OCoLC)320899828|z(OCoLC)644344385 |z(OCoLC)961595683|z(OCoLC)962728363|z(OCoLC)988782198 |z(OCoLC)1001709282|z(OCoLC)1003358409|z(OCoLC)1006231136 |z(OCoLC)1016022461|z(OCoLC)1043483010|z(OCoLC)1044346989 |z(OCoLC)1048288080|z(OCoLC)1056340496|z(OCoLC)1056404081 |z(OCoLC)1057991396|z(OCoLC)1060884809|z(OCoLC)1073051454 |z(OCoLC)1079890852|z(OCoLC)1091745331|z(OCoLC)1096665133 |z(OCoLC)1119080241|z(OCoLC)1129188341|z(OCoLC)1167200409 |z(OCoLC)1229845386|z(OCoLC)1237510204 040 OCLCE|beng|epn|cOCLCE|dOCLCQ|dVLB|dUBY|dOCLCQ|dOCLCF |dOCLCO|dZGM|dCOCUF|dUBC|dCHC|dOCLCQ|dOCLCO|dOCLCQ|dZ5A |dS3O|dOCLCO|dESU|dOCLCA|dRVA|dCEF|dAU@|dOCLCO|dCANPU|dYOU |dBRX|dUX1|dUAB|dUEJ|dOCLCO|dSTJ 042 dlr 049 STJJ 050 4 QA279|b.W54 1962 050 4 HA33|b.W5 060 4 HA 29|bW767s 1962 082 04 311 082 04 519.5|220 084 70.03|2bcl 084 CM 3500|2rvk 084 CM 4000|2rvk 084 MR 2300|2rvk 084 SK 840|2rvk 099 WORLD WIDE WEB|aE-BOOK|aEBSCO 100 1 Winer, B. J. 245 10 Statistical principles in experimental design. 264 1 New York :|bMcGraw-Hill,|c1962. 300 1 online resource (x, 672 pages) :|billustrations. 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 490 1 McGraw-Hill series in psychology 504 Includes bibliographical references (pages 661-664, p. 665 -666) and index. 506 |3Use copy|fRestrictions unspecified|2star|5MiAaHDL 520 3 "Written primarily for students and research workers in the area of the behavioral sciences, this book is meant to provide a text and comprehensive reference source on statistical principles underlying experimental design. Particular emphasis is given to those designs that are likely to prove useful in research in the behavioral sciences. The book primarily emphasizes the logical basis of principles underlying designs for experiments rather than mathematical derivations associated with relevant sampling distributions. The topics selected for inclusion are those covered in courses taught by the author during the past several years. Students in these courses have widely varying backgrounds in mathematics and come primarily from the fields of psychology, education, economics, sociology, and industrial engineering. It has been the intention of the author to keep the book at a readability level appropriate for students having a mathematical background equivalent to freshman college algebra. From experience with those sections of the book which have been used as text material in dittoed form, there is evidence to indicate that, in large measure, the desired readability level has been attained. Admittedly, however, there are some sections in the book where this readability goal has not been achieved. The first course in design, as taught by the author, has as a prerequisite a basic course in statistical inference. The contents of Chaps. 1 and 2 review the highlights of what is included in the prerequisite material. These chapters are not meant to provide the reader with a first exposure to these topics. They are intended to provide a review of terminology and notation for the concepts which are more fully developed in later chapters. By no means is all the material included in the book covered in a one semester course. In a course of this length, the author has included Chaps. 3, 4, parts of 5, 6, parts of 7, parts of 10, and parts of 11. Chapters 8 through 11 were written to be somewhat independent of each other. Hence one may read, with understanding, in these chapters without undue reference to material in the others. In general, the discussion of principles, interpretations of illustrative examples, and computational procedures are included in successive sections within the same chapter. However, to facilitate the use of the book as a reference source, this procedure is not followed in Chaps. 5 and 6. Basic principles associated with a large class of designs for factorial experiments are discussed in Chap. 5. Detailed illustrative examples of these designs are presented in Chap. 6. For teaching purposes, the author includes relevant material from Chap. 6 with the corresponding material in Chap. 5. Selected topics from Chaps. 7 through 11 have formed the basis for a second course in experimental design. Relatively complete tables for sampling distributions of statistics used in the analysis of experimental designs are included in the Appendix. Ample references to source materials having mathematical proofs for the principles stated in the text are provided" --Preface. (PsycINFO Database Record (c) 2008 APA, all rights reserved). 533 Electronic reproduction.|b[S.l.] :|cHathiTrust Digital Library,|d2010.|5MiAaHDL 538 Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.|uhttp://purl.oclc.org/DLF/benchrepro0212 |5MiAaHDL 583 1 digitized|c2010|hHathiTrust Digital Library|lcommitted to preserve|2pda|5MiAaHDL 588 0 Print version record. 650 0 Experimental design. 650 2 Research.|0(DNLM)D012106 650 2 Statistics as Topic.|0(DNLM)D013223 650 7 Experimental design.|2fast|0(OCoLC)fst00918404 650 7 Experimentelle Psychologie.|2gnd|0(DE-588)4016005-1 650 7 Statistik.|2gnd|0(DE-588)4056995-0 650 7 Versuchsplanung.|2gnd|0(DE-588)4078859-3 650 17 Experimenteel ontwerp.|2gtt 650 17 Variantieanalyse.|2gtt 773 0 |tPsycBOOKS (EBSCO)|dEBSCO 776 08 |iPrint version:|aWiner, B.J.|tStatistical principles in experimental design.|dNew York, McGraw-Hill, 1962|w(DLC) 61013174|w(OCoLC)165866 830 0 McGraw-Hill series in psychology. 994 C0|bSTJ
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