(Exercises 12 to 15 in Advanced
Copyediting Practice for Chinese Technical Writers
by Ted Knoy)
[ Exercise 12]
is a fact that engineers select an appropriate
variable and the transformed observations are
treated as though they are normally distributed
with a constant variance.
methods neither require previous knowledge of
how the variables are distributed nor are the
censored data stipulated to be available.
procedure for analyzing singly censored data in
a replicated experiment is as follows:
S tep 1: Distinguish the experimental results
as the uncensored (complete) data and the censored
Step 2: The relationship between the two values
must be found by performing regression analysis.
Step 3: Estimate the two variables.
Step 4: The estimated censored data must be ranked.
Step 5: Find the regression models for response
avaerage and standard deviation for each trial.
Step 6: The factors that significantly affect
the response average and standard deviation must
Step 7: The optimal factor/level combination must
The derived model provides an extension of an
earlier concept  and helping industrial managers
in determining a feasible number of replenishments.
Experimental design is used in this method to
arrange the design parameters and noise factors
in the orthogonal arrays and computing the signal-to-noise
(SN) ratio based on the quality loss for each
relative importance of each response can be transformed
into a fuzzy number through means of the establishment
of a formal scale system that can be used to convert
linguistic terms into their corresponding fuzzy
numbers and to express the relative importance
of each response by the linguistic term.
Taguchi approach provides a combination of experimental
design techniques with quality loss considerations
and that the average quadratic loss is minimized.
conventional approach happens to be cumbersome,
complicated and wastes too much time.
two-step procedure not only identifies those factors
that significantly affect the signal-to-noise
(SN) ratio, but also the levels that maximize
SN are found.
(1988) proved that strong non-linearities exist
and the B technique was also recommended for use
work not only proposes an effective procedure
based on the rank transformation of responses
and regression analysis, but also the singly censored
data are discussed.
following steps describe the procedure:
Step 1: Calculate the normalized decision matrix.
Step 2: The weighted normalized decision matrix
Step 3: The ideal and negative-ideal solution
Step 4: Calculate the separation measures.
Step 5: The relative closeness to the ideal solution
Step 6: The preference order is ranked.