Principles and Procedures of Statistics: A Biometrical ApproachMcGraw-Hill, 1980 - 633 páginas Observations; Probability; Sampling from a normal distribution; Comparisons involving two sample means; Principles of experimental design; Analysis of variance I: the one-way classification; Multiple comparisons; Analysis of variance II: multiway classifications; Linear regression; Linear correlation; Matrix notation; Linear regression in matrix notation; Multiple and partial regression and correlation; Analysis of variance III: factorial experiments; Analysis of variance IV: split-plot designs and analysis; Analysis of covariance; Analysis of variance V: unequal subclass numbers; Curve fitting; Some uses of Chi square; Enumeration Data I: one-way classifications; Enumeration Data II: contingency tables; Some discrete distributions; Nonparametric statistics; Sampling finite populations. |
Otras ediciones - Ver todo
Principles and Procedures of Statistics: A Biometrical Approach Robert George Douglas Steel,James Hiram Torrie Vista de fragmentos - 1980 |
Principles and Procedures of Statistics: A Biometrical Approach Robert George Douglas Steel,James Hiram Torrie Vista de fragmentos - 1980 |
Términos y frases comunes
additional adjusted alternative analysis of variance apply appropriate approximation average b₁ block called column comparisons complete components Compute confidence interval correlation covariance defined degrees of freedom dependent determine differences discussed distribution effects equal equation error estimate example Exercise expected experiment experimental experimental units factor fixed give given homogeneity illustration increase independent individual interaction involved levels linear matrix mean square measured method missing multiple normal Note null hypothesis observations obtained pairs parameters percent plants plot population possible pots present probability problem procedure random ratio referred regression relation Repeat replication residual response sample sample means significant single Source standard deviation statistics sum of squares Table term tion transformation treated treatment means true types units values variable variation weight X₁ yield zero