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Engineers simplify methods to treat transformed observations, analyze data efficiently, and determine optimal factors. Eliminate wordiness and convey information effectively.
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No.1 • (Worse)It 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.
(Better) Engineers select an appropriate variable and treat the transformed observations as though they are normally distributed with a constant variance.
[Note 4.1] • Omit It is a fact that since it does not add to the sentence’s meaning. • Other examples of needless phrase • It is well known that • It goes without saying that • It may be said that • It is evident that • It has been found that • It has long been known that
No.2 • (Worse) Those methods neither require previous knowledge of how the variables are distributed norare censored data stipulated to be available.
(Better) Those methods neither require previous knowledge of how the variables are distributed norstipulate availability of the censored data.
No.3 • (Worse) The procedure for analyzing singly censored data in a replicated experiment is as follows: • Step 1: Distinguish the experimental results as the uncensored (complete) data and the censored (incomplete) data. • 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.
No.3 (cont.) • Step 5: Find the regression models for response average and standard deviation for each trial. • Step 6: The factors that significantly affect the response average and standard derivation must be identified. • Step 7: The optimal factor/level combination must be determined.
No.3 (cont.) • (Batter) The procedure for analyzing singly censored data in a replicated experiment is as follows: • Step 1: Distinguish the experimental results as the uncensored (complete) data and the censored (incomplete) data. • Step 2: Find the relationship between the two values must by performing regression analysis. • Step 3: Estimate the two variables.
No.3 (cont.) • Step 4: Rank the estimated censored data. • Step 5: Find the regression models for response average and standard deviation for each trial. • Step 6: Identify the factors that significantly affect the response average and standard derivation. • Step 7: Determine the optimal factor/level combination.
[Note 4.2] • Depending on the sentence’s context, obtain, derive, attain, identify or distinguish can be used as an alternatives to find.
No.4 • (Worse) The derived model provides an extension of an earlier concept [1] and helping industrial managers in determining a feasible number of replenishments. • (Better) The derived model extends an earlier concept [1] and helps industrial managers in determining a feasible number of replenishments.
[Note 4.3] • Depending on the sentence’s context, assist, facilitate, guide and direct can be used as an alternatives to help.
No.5 • (Worse) Experimental design is used in this method toarrange 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 experimental combination.
(Better 1) Experimental design is used in this method to arrange the design parameters and noise factors in the orthogonal arrays and to compute the signal-to-noise (SN) ratio based on the quality loss for each experimental combination.
No.5 • (Better 2) Experimental design is used in this method for arranging the design parameters and noise factors in the orthogonal arrays and for computing the signal-to-noise (SN) ratio based on the quality loss for each experimental combination.
No.6 • (Worse) The 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 linguistic term.
No.6 • (Better) The relative importance of each response can be transformed into a fuzzy number by establishing a formal scale system that can convert linguistic terms into their corresponding fuzzy numbers and express the relative importance of each response by linguistic term.
[Note 4.4] • Avoid wordiness by saying by instead of through means of.
No.7 • (Worse) The Taguchi approach provides a combination of experimental design techniques with quality loss considerations and that the average quadratic loss is minimized. • (Better) The Taguchi approach combines experimental design techniques with quality loss considerations and minimizes the average quadratic loss.
No.8 • (Worse) The conventional approach happens to be cumbersome, complicated and wastes too much time. • (Better) The conventional approach is cumbersome, complicated and time consuming.
[Note 4.5] • Avoid wordiness by saying is instead of happens to be.
No.9 • (Worse) The 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. • (Better) The two-step procedure not only identifies those factors that significantly affect the signal-to-noise (SN) ratio, but alsofinds the levels that maximize SN.
No.10 • (Worse) Logethetis (1988) proved that strong non-linearities exist and the B technique was also recommended for use by him. • (Better) Logethetis (1988) proved that strong non-linearities exist and also recommendedusing the B technique.
[Note 4.6] • Depending on the sentence’s context, demonstrated, verified or confirmed can be used as alternatives to proved.
No.11 • (Worse) This work not only proposes an effective procedure based on the rank transformation of responses and regression analysis, but also the singly censored data arediscussed. • (Better) This work not only proposes an effective procedure based on the rank transformation of responses and regression analysis, but also discusses the singly censored data.
[Note 4.7] • Depending on the sentence’s context, presents or describes can be used as an alternatives to proposes.
No.12 • (Worse) The following steps describe the procedure • Step 1: Calculate the normalized decision matrix. • Step 2: The weighted normalized decision matrix is calculated. • Step 3: The ideal and negative-ideal solution is determined. • Step 4: Calculate the separation measures. • Step 5: The relative closeness to the ideal solution is calculated. • Step 6: The preference order is ranked.
No.12 (cont.) • (Better) The following steps describe the procedure • Step 1: Calculate the normalized decision matrix. • Step 2: Calculate the weighted normalized decision matrix. • Step 3: Determine the ideal and negative-ideal solution. • Step 4: Calculate the separation measures. • Step 5: Calculate the relative closeness to the ideal solution. • Step 6: Rank the preference order.