Statistical Tables, Explained and Applied.
This book contains several new or unpublished tables, such as one on the significance of the correlation coefficient r, one giving the percentiles of the E 2 statistic for monotonic variation (with two structural models of variation), an extensive table for the number-of-runs test, three tables for...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Singapore :
World Scientific Publishing Company,
2002.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Introduction. Common abbreviations and notations
- Normal distribution
- Chi-square (x[symbol) distribution
- Student's t distribution with Dunn-Šidák's t and significance table for r
- F distribution
- Studentized range (q) distribution
- Dunnett's t distribution
- [symbol][symbol] (monotonic variation) distribution
- F[symbol] distribution
- Cochran's C distribution
- Orthogonal polynomials
- Binomial distribution
- Number-of-runs distribution
- Random numbers
- Supplementary examples
- Mathematical complement. Beta [Beta distribution [symbol][symbol](a, b), Beta function B(a, b)]
- Binomial expansion
- Combinations, C(m, n) or ([symbol])
- Correlation coefficient, [symbol]xy, [symbol]xy
- Distribution function, P(x)
- Expectation (of a random variable), [symbol] or E(X)
- Exponential distribution, E([symbol])
- Factorial (function), n!
- Factorial (ascending n[symbol], descending n[symbol])
- Gamma [Gamma distribution G[symbol](x), Gamma function [symbol] (x))]
- Integration (analytic, direct)
- Integration (numerical)
- Interpolation (linear, harmonic)
- Mean (of a random variable), [symbol] or E(X), [symbol]
- Moments of a distribution [[symbol], [symbol], [symbol], [symbol]]
- Moment estimates [[symbol], s[symbol], g[symbol], g[symbol]]
- Poisson distribution, Po([symbol][symbol])
- Probability density function, p(x)
- Probability distribution function, P(x)
- Simpson's (parabolic) rule
- Standard deviation (of a random variable), [symbol], s
- Uniform distribution, U(a, b) and [symbol](0,1)
- Variance (of a random variable), [symbol][symbol] or var(X), s[symbol].