http://www.zdfans.com/html/30317.html
Software Features
1, to assist
measurement systems analysis
capability analysis
graphical analysis
hypothesis testing
Regression
DOE
control FIG.
2, the graphics
scattergram, Matrix, boxplots, FIG point, histogram, control charts, and other time series chart
contour plot and a 3D rotation Figure
probability plots and probability distribution
data changes automatically updated graphics
for graphics use brushes to study concerns
export: TIF, JPEG, PNG, BMP, GIF, EMF
3, basic statistics
descriptive statistics
one-sample Z test, one sample t-test, two-sample t-test, paired t-test
one-ratio test and two-ratio test
a single sample Poisson ratio test and the two-sample Poisson ratio test
univariate test and both testing for
correlation and covariance
normality test
outlier test
Poisson Quasi goodness of fit test
4, regression
linear regression and non-linear regression
two yuan, Logistic regression sequence and a nominal
stability
partial Least Squares
orthogonal regression
Poisson regression
FIG: residual factor, contour, curved surface.
Phase: p value, the AICc and BIC selection criteria
the best subset
in response to the prediction and optimization of
5, ANOVA
ANOVA
general linear model
mixed model
multivariate analysis of variance
for multiple comparisons
response prediction and optimization
equal variance test
FIG: residual factor, contour, curved surface.
The mean value of
6, the measurement system analyzes
data collection sheet
Gage R & R cross
Gage R & R nested
extended gage repeatability and reproducibility
Measuring diagram
gage linearity and bias
type 1 gage study
attribute gage study
attribute consistency analysis
7, quality tools
run FIG
Pareto FIG
causal FIG
variable control charts: XBar, R, S, XBar -R, XBar-S, I, MR, I-MR, I-MR-R / S, area, Z-MR
property control chart: P, NP, C, U, Laney P ' and U'
time-weighted FIG control: MA, EWMA, CUSUM
multivariate control chart: T side, generalized variance, of MEWMA
rare event control chart: G and T
history / shift control process in FIG
Box and Johnson conversion -Cox
individual distribution identification
process capability: normal, non-normal, attribute, batch
process capability SixpackTM
tolerance interval
acceptance sampling and curve OC
8, experimental design
deterministic screening design
Plackett-Burman design of
two-level factorial design
split plot design
ships factorial design
in response surface design
Mixture design
D-optimal design and distance-based design
Taguchi Design
design user-specified
analysis binary response
analysis factorial design variability
patch test
isobologram: normal, semi-normal, Pareto
response prediction and optimization
FIG: residuals, the main effect, interaction, cube, contour, surface, frame
9, reliability / survival
parameters and distribution analysis non-parametric analysis of the distribution of
the goodness of fit measure the
exact failure data, right censored data, left censored data and interval-censored data
accelerated life test
life data regression
test plan
threshold parameter distribution
repairable system
multiple failure modes
probit analysis
Weibayes analysis
FIG: distribution, the probability of failure, survival
guaranteed analysis
10 efficacy and number of samples,
for estimating the number of samples
tolerance intervals the number of samples of the
one-sample Z, single-sample t-sample t and
paired t
single and dual ratio ratio
single sample Poisson ratio and two-sample Poisson rate
And both univariate difference
equivalent test
one-way ANOVA
two levels, Plackett-Burman design and general full factorial
effect curves
11, multivariate
principal component analysis
factor analysis
discriminant analysis
cluster analysis
correspondence analysis
alpha and project analysis The Cronbach
12 is, time series, and predicted
time series graph
trend analysis
exploded
moving averages
exponential smoothing
Winters method
autocorrelation function, partial autocorrelation function and cross correlation function
autoregressive integrated moving average (the ARIMA)
13 is, nonparametric
sign test
Wilcoxon test
Mann-Whitney test
Kruskal-Wallis test
Mood median test
Friedman test
runs test
14, test equivalent
single and two-sample, matched
2x2 crossover design
15, table
chi-square test, Fisher exact test and other tests
chi-square goodness of fit test
counts and cross-tabulations
16, analog and distribution of
the random number generator
probability density, cumulative distribution and inverse cumulative distribution function
Random sample
bootstrap and randomization test
17, macros and custom
customizable menus and toolbars
large number of user profiles and preferences
powerful scripting capabilities