Р 50.1.040-2002 Статистические методы. Планирование экспериментов. Термины и определения

A-optimal design

2.7.1.2

alias

1.19

analysis of covariance

3.5

analysis of variance

3.4

balanced incomplete block design

2.3.4.1

balanced nested design

2.6.1

block

1.11

block design

2.3

blocking

1.28

centre point

1.36

completely randomized design

1.33

confounding

1.18

contrast

1.24

cube point

1.34

curvature

1.20

D-optimal design

2.7.1.1

design matrix

2.7.1

design region

1.4

design resolution

2.1.3

design space

1.4

designed experiment

1.31

dispersion effect

1.14

evolutionary operation

1.32

experimental error

1.7

experimental plan

1.30

experimental unit

1.9

-factor experiment

1.16

2 factorial experiment

2.1.2.1

2 fractional factorial experiment

2.1.2.2

factor

1.5

factorial experiment

2.1

fractional factorial experiment

2.1.1

full factorial experiment

2.1

fully nested design

2.6.1

G-optimal design

2.7.1.3

Graeco-Latin square design

2.3.3

graphical method

3.1

hierarchical design

2.6

incomplete block design

2.3.4

interaction

1.17

interaction plot

3.1.2

latin square design

2.3.2

level

1.6

main effect

1.13

main effects plot

3.1.1

method of least squares

3.2

mixture design

2.5

model

1.1

model 1 analysis of variance

3.4.1

model 2 analysis of variance

3.4.2

model 3 analysis of variance

3.4.3

nested design

2.6

one-factor experiment

1.12

optimal design

2.7

orthogonal array

1.26

orthogonal contrast

1.25

orthogonal design

2.8

partially balanced incomplete block design

2.3.4.2

predictor variable

1.3

pure error

1.23

quantile plot of effects

3.1.3

randomization

1.29

randomized block design

2.3.1

regression analysis

3.3

replication

1.27

residual

1.21

residual error

1.22

residual plot

3.1.4

response surface design

2.4

responze variable

1.2

rotatability

1.37

saturated design

2.9

screening design

2.2

split-block design

2.3.7

split-plot design

2.3.6

staggered nested design

2.6.2

star point

1.35

treatment

1.10

two-factor experiment

1.15

two-level experiment

2.1.2

two-way split-plot design

2.3.7

variance component

1.8

Youden square

2.3.5