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Mason R.L., Gunst R.F., Hess J.L. — Statistical Design and Analysis of Experiments, with Applications to Engineering and Science
Mason R.L., Gunst R.F., Hess J.L. — Statistical Design and Analysis of Experiments, with Applications to Engineering and Science



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Название: Statistical Design and Analysis of Experiments, with Applications to Engineering and Science

Авторы: Mason R.L., Gunst R.F., Hess J.L.

Аннотация:

This graduate textbook introduces the design of experiments with factorial structures, random factor effects, and quantitative predictors and factors, and methods for analyzing the resulting data. The second edition expands coverage of three-level fractional factorial experiments, and the analysis of data from unbalanced experiments, incomplete block designs, split-block designs, and process improvement designs.


Язык: en

Рубрика: Математика/Вероятность/Статистика и приложения/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2003

Количество страниц: 760

Добавлена в каталог: 05.06.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
Plots, trellis      214
Pooled standard deviation estimate      90
Population      10
Power      56
PRECISION      127
Prediction equation      475 498
Prediction interval      485
Probability concepts      42
Process      10
Process, capability      404
Product array design      594
Pure error      506
Quadratic model      515 588
Quality control procedures      128
Quality loss function      407
Quantile      159
quartile      37
Random sample      14
Randomization      128 142 391
Randomization, restricted      391
Randomized complete block (RCB) design      317 552
RANGE      35
Reduction in error sum of squares      273
Reexpression      642 647
Regression analysis, analysis linear      470
Regression analysis, assumptions      463 481
Regression analysis, common uses and misuses      462
Regression analysis, local fit      473
Regression analysis, strategy      470
Regression analysis, sum of squares      481 503
Regression coefficient      462 497
Regression coefficient, beta-weight      502 519
Regression coefficient, standardized      502 519
Regression fallacy      480
Repeat test      110 144 312
Repeatability      315 402 434
Replication      110 312
Reproducibility      315 402 434
Residuals      475 498
Residuals, partial      635
Residuals, studentized deleted      623
Response surface designs      129 410 568 580
Response surface designs, Box — Behnken      413 585
Response surface designs, central composite      413 582
Response, dispersion      130
Response, location      130
Response, predicted      475 498
Response, variable      120
Rising ridge      572
robust design      401
Robust design, parameter design      587 594
Robustness      401
Rotatable design      581
Ruggedness tests      267 293
Saddle      572
Sample      13
Sample correlation coefficient      468
Sample, mean      34
Sample, median      34
Sample, sampling distribution of      45
Sample, size      56 79
Sample, standard deviation      36 73
Sample, types of      13
Sample, variance      46
Sampling distribution      21 45 73
Saturated designs      253
scatterplot      6
Scatterplot, smoothing      473
Screening design      144 256
Screening design, analysis      293
Screening experiments      129 158 256
Semi-interquartile range      37 70
sequential experimentation      255 331
Shapiro — Wilk test for normality      633
Signal-to-noise ratio      436
Significance level      55
Significance probability      55
Simplex design      588
Small composite design      588
Smoothing      473
span      473
Split plot      384 388
Split-plot design      384 388 428
Stable process      404
Staggered nested design      382 427
Standard deviation      36 81
Standard error      45
Standard normal variate      44
Standard process      404
Standardized predictor variable      519 591
Stationary point      593
Stationary ridge      571
Statistic      4 19
Steepest ascent method      602
Stepwise variable selection techniques      665
Stepwise variable selection techniques, collinear effects      672
Student t distribution      46 60
Student t distribution, approximate      91
Sum of squares, contrast      200
Sum of squares, error      180 481 498
Sum of squares, interaction effect      178
Sum of squares, main effect      178
Sum of squares, model      177
Sum of squares, partitioned      177
Sum of squares, regression      481 503
Sum of squares, total      177 481
Supersaturated design analysis      297
t-distribution      46
t-statistic      73 209
Taguchi approach      129 406
Taguchi design      406 436
Test run      110
Tolerance intervals      50
Transformation, Box — Cox      642
Transformation, logarithmic      640
Transformation, power-family      642
Transmitted variation      411
Tukey’s significant difference      212
Type I error      55 202
Type II error      55 202
Unbalanced design analysis      272
Variable      11
Variable, categorical      536
Variable, collinear      518
Variable, continuous      42
Variable, indicator      461 536
Variable, predictor      461 462 497
Variable, response      12 110
Variable, selection techniques      659
Variable, standardized      579
Variance component      350 434
Variance inflation factors      673
Variation assignable cause      173
Variation measurement      402
Variation random      173
Variation, sources of      173
Variation, transmitted      411
Whole plots      388
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