Introductory StatisticsWiley, 1972 - 510 páginas Descriptive statistics for samples; Probability; Random variables and their distributions; Two random variables; Sampling; Estimation; Hypothesis testing; Analysis of variance; Introduction to regression; Regression theory; Multiple regression; Correlation; Bayesian decision theory; Nonparametric statistics; Chi square tests; Maximum likelihood estimation. |
Contenido
Descriptive Statistics for Samples | 11 |
Probability | 31 |
Random Variables and Their Distributions | 59 |
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Términos y frases comunes
analysis of variance ANOVA approximation assumption average Bayesian bias biased binomial cell Chapter chips coefficient column computed confidence interval Construct a 95 correlation covariance defined degrees of freedom difference equation error example fertilizer fitted graph H₁ height hence hypothesis test income increase independent interval estimate likelihood linear loss function machine mean and variance median multiple regression N2 VN normal distribution normal population null hypothesis outcome plane population mean population proportion predict prediction interval prior probability distribution Problem rainfall random sample random variable regression line regressors reject relative frequency result sample mean sample proportion sample space shown in Figure significance level simple regression slope standard deviation statistically significant statistician sum of squares Suppose theorem tion type I error unexplained unexplained variance variation X₁ Y₁ yield zero ΣΣ ΣΧ
Referencias a este libro
Applied Regression Analysis, Linear Models, and Related Methods John Fox Sin vista previa disponible - 1997 |