coefficient of kurtosis
65,
66f
Fisher’s coefficient of kurtosis
66
leptokurtic curve
65,
66f
platykurtic curve
65,
65f
Bowley’s coefficient of skewness
63–64,
64b
coefficient of skewness on Stata
64–65
Fisher’s coefficient of skewness
64
left/negative skewness
61,
62f
Pearson’s second coefficient of skewness
63,
63b
right/positive skewness
61,
62f
symmetrical distribution
61,
62f
Shapiro-Francia (S-F) tests
480
Simple matching coefficient (SMC)
322
finite population, sample size
proportion estimation
179
infinite population, sample size
proportion estimation
179
planning and selection
170
degenerate optimal solution
773
iterative algebraic procedure
757
unlimited objective function z
773
Sneath and Sokal similarity coefficient
324
Standard maximization problem
711
binary logistic regression model
C
p, C
pk, C
pm and C
pmk indexes
977
intermediate models (multilevel step-up strategy) and commands
1033,
1033t
negative binomial regression model
663–664f
Kolmogorov-Smirnov (K-S) test
209,
209f
Shapiro-Francia (S-F) test
210,
210f
maximum logarithmic likelihood function
647
principal components factor analysis
eigenvalues and eigenvectors
424,
424f
KMO statistic and Bartlett’s test of sphericity
423,
424f
Pearson’s correlation coefficient
427,
428f
regression models estimation
Breusch-Godfrey test results
516,
517f
distribution adherence
513
Durbin-Watson test result
515,
516f
Huber-White robust standard error estimation
507
logarithmic transformation
510
maximum likelihood estimation
500
residuals distribution and normal distribution
503,
503f
squared normalized residuals
502
temporal model estimation results
513,
515f
VIF and Tolerance statistics
504,
504f
weighted least squares model
506–507
Statistical process control (SPC)
standard normal distribution
942
quality characteristics
942
finite population, sample size
infinite population, sample size
proportion estimation
181
Sum of squares due to regression (SSR)
451
T
Three-level hierarchical linear model, repeated measures
987,
989,
990f,
990t
IBM SPSS Statistics Software
Total sum of squares (TSS)
451
Transhipment problem (TSP)
intermediate transhipment points
860–862
transportation unit cost
862
Transportation algorithm
846f
balanced transportation model
846,
846b
elementary operations
847
coefficients and significance
459,
461f
IBM SPSS Statistics Software
adaptive quadrature process
1005
best linear unbiased predictions (BLUPS)
1005
generalized linear latent and mixed model (GLLAMM)
1005
maximum likelihood estimation
1005
ordinary Gauss-Hermite quadrature
1005
unbalanced clustered data structure
998,
1000f
Two-stage cluster sampling
174,
175b
U
Uniform stratified sampling
173
Univariate descriptive statistics
22f
Add-ins dialog box
68,
70f
Data Analysis dialog box
69,
71f
descriptive statistics
69,
72f
Descriptive Statistics dialog box
69,
71f
Excel Options dialog box
68,
70f
frequency distribution tables
21
IBM SPSS Statistics Software
69–72
percentiles calculation
85,
85f
stem-and-leaf plot
86,
86f
V
descriptive statistics
17
continuous random variable
140,
140b
ungrouped discrete and continuous data
57,
57b
Vertical bar charts
26,
27f
W
Weighted least squares model
490
Stata, regression models estimation
506–507
Weighted rank-sum criterion
408,
409t
Y
Yule similarity coefficient
323
Z
Zero-inflated regression models
692b
Bernoulli distribution
691
logarithmic likelihood function
691
quantitative variable
690
Zero-order correlation coefficients
387–388
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