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| Barlow R. — Statistics: A Guide and Reference to the Use of Statistical Methods in the Physical Sciences |
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| Предметный указатель |
Resolution 48 53 134—135
Robust test 159 173
Root mean square 7
Rounding 4 6
Run test 153—154
Run test and chi squared 154
Run test and the two-sample problem 161—162
Run test for ranked data 174
Running average 183
Sample 3
Sample standard deviation 12
Sample variance 12
Schwarz inequality 74 86
Several samples 141
Sheppard's correction 171
Shortest confidence interval 126
Sign test for matched pairs 175
Sign test for the median 173
Signed rank test 176
Significance errors 180—184
Significance errors and matrix inversion 183
Significance errors and quadratic equations 183
Significance errors in addition 182
Significance errors in subtraction 181
Significance of a test 143—145
Significance of histogram peaks 148—149
Significance, meaning explained 147
Simple hypothesis 142
Simple proportion 98—99
Skew 13
Small errors 56
Snedecor distribution 160—164
Spearman's correlation 177
Splines 184
Standard deviation 9—12
Standard deviation and Student's t 135
Standard deviation as quoted error 48
Standard deviation for binomial 27
Standard deviation for Gaussian 34—40
Standard deviation for Poisson 32
Standard deviation in binormal 44
Standard deviation, computation 181—182
Standard deviation, estimation of 78—79 83
Standard deviation, pooled estimate 158
Standard error on the mean 53 76
Standard error on the mean in two-sample problem 157
Straight line fit 99—105
Straight line fit through the origin 99
Straight line fit, error derivation 101—102
Straight line fit, errors on both co-ordinates 109—111
Straight line fit, extrapolation 103
Straight line fit, formula derivation 100—101
Straight line fit, matrix version 113—114
Straight line fit, summary 100
Straight line fit, systematic errors 103—104
Stratified sampling 94—95 159
Student's t 80 134—139
Student's t and Spearman's correlation 177
| Student's t in correlated samples 159—160
Student's t in two-sample problem 157—159
Student's t, critical values 137
Student's t, derivation 138
Success 22—25
Symmetric confidence interval 126
Systematic errors 61—66 80
Systematic errors and straight line fit 103—104
Tails 49
test 141
Test of binomial hypothesis 147
Test of Poisson hypothesis 148—149
Test, chi squared 150—153
Test, Kolmogorov 155—156
Test, Neyman Pearson 144—145
Test, run 153—154
Treatment (in ANOVA) 169
Trials 24
Two-sample problem 141 156—164
Two-sample problem and Student's t 157—158
Two-sample problem, Gaussian samples 156—161
Two-sample problem, two-sample test, for ranked data 174—177
Two-tailed probability 40
Two-tailed test 142
Type I error 142—145
Type II error 142—145
U test 174
Unbiased 69—73
Unbiased estimate of standard deviation 11 76—78
Uniform distribution 45 73
Unit Gaussian, unit normal 35
Unitary matrix 42
Upper quartiles 12
Upperlimit 127—129 132—134
Variance 8—12
Variance matrix 18
Variance matrix and combination of errors 59—60
Variance of a function 55—58
Variance of a sum of variables 49—52
Variance of an estimator 72—75
Variance of binomial 27
Variance of chi squared distribution 107
Variance of moments 77
Variance of Poisson 32
Variance of uniform distribution 45
Variance ratio distribution 160—164
Variance, comparing binomial and Poisson 30
Variance, estimation of 76
von Mises, Richard 120 188
Warning level 10
Weibull distribution 45
Weighted mean 83
Weighted measurements 54
Weighted straight line 102
Wilcoxon's matched pairs test 176
Wilcoxon's test 174
Wings 49
Within-group variance 165—166
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