This presentation of the fundamentals of linear statistical models is devoted to unbalanced data (data having unequal numbers of observations in the subclasses) and its emphasis on the up-to-date cell means model approach to linear models for unbalanced data. Unbalanced data are harder to analyze and understand than balanced data, but are becoming more prevalent through computer storage of data. Topics covered include cell means models, 1-way classification, nested classifications, 2-way classification with some-cells-empty ...
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This presentation of the fundamentals of linear statistical models is devoted to unbalanced data (data having unequal numbers of observations in the subclasses) and its emphasis on the up-to-date cell means model approach to linear models for unbalanced data. Unbalanced data are harder to analyze and understand than balanced data, but are becoming more prevalent through computer storage of data. Topics covered include cell means models, 1-way classification, nested classifications, 2-way classification with some-cells-empty data, models with covariables, matrix algebra and quadratic forms, linear model theory, comments on computing packages, and much more. References and statistical tables are included.
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Book is in good condition. Minimal signs of wear. It May have markings or highlights but kept to only a few pages. May not come with supplemental materials if applicable.
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VG/VG. 0471840963. Hardcover 1st printing with very clean, bright covers. Pages tight, clean, unmarked. Previous owner's name stamp on first free endpaper. DJ clean, glossy, bright, with minimal wear (no tears).;
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Very Good in Very Good dust jacket. 0471840963. Light age tone to edges of dust jacket and one small scuff. Upper spine edge bumped.; Boards are square, flat and clean. Tight binding. Interior is clean and unmarked. Dust jacket has been placed in removeable protective cover. Large/heavy book: international buyers may be charged for additional shipping costs.; 9.31102361255 X 6.31889763135 X 1.29921259710 inches; 560 pages.
