000			01921nam a2200241 a 4500
020			_a9780898715927
020			_a089871592X
020			_a9780898718362
020			_a0898718368
082			_a519.5 _bNEL
100			_aNelson, Peter R.
245		4	_aThe analysis of means : a graphical method for comparing means, rates and proportions
260			_aPhiladelphia, Pa. : _bSociety for Industrial and Applied Mathematics, _c©2005.
300			_axii, 247 pages : _billustrations ;
490			_aASA-SIAM series on statistics and applied probability.
500			_aIndex
505			_a Preface -- Introduction -- Chapter 1: One-Factor Balanced Studies -- Chapter 2: One-Factor Unbalanced Studies -- Chapter 3: Testing for Equal Variances -- Chapter 4: Complete Multi-Factor Studies -- Chapter 5: Incomplete Multi-Factor Studies -- Chapter 6: Axial Mixture Designs -- Chapter 7: Heteroscedastic Data -- Chapter 8: Distribution-Free Techniques -- Appendix A: Figures -- Appendix B: Tables -- Appendix C: SAS Examples -- References --
520			_a The analysis of means (ANOM) is a graphical procedure used to quantify differences among treatment groups in a variety of experimental design and observational study situations. The ANOM decision chart allows one to easily draw conclusions and interpret results with respect to both statistical and practical significance. It is an excellent choice for multiple comparisons of means, rates, or proportions and can be used with both balanced and unbalanced data. Key advances in ANOM procedures that have appeared only in technical journals during the last 20 years are included in this first comprehensive modern treatment of the ANOM containing all of the needed information for practitioners to understand and apply ANOM.
650			_aAnalysis of means.
700			_aCopeland, Karen A.F.
700			_aWludyka, Peter S.
942			_cREF
999			_c39896 _d39896