latin square design

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Latin Square Design Traditionally, latin squares have two blocks, 1 treatment, all of size n Yandell introduces latin squares as an incomplete factorial design instead Though his example seems to have at least one block (batch) Latin squares have recently shown up as parsimonious factorial designs for simulation studies

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Latin Square Design. Traditionally, latin squares have two blocks, 1 treatment, all of size n Yandell introduces latin squares as an incomplete factorial design instead Though his example seems to have at least one block (batch) - PowerPoint PPT Presentation

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Page 1: Latin Square Design

Latin Square Design

Traditionally, latin squares have two blocks, 1 treatment, all of size n

Yandell introduces latin squares as an incomplete factorial design instead– Though his example seems to have at least

one block (batch) Latin squares have recently shown up as

parsimonious factorial designs for simulation studies

Page 2: Latin Square Design

Latin Square Design

Student project example– 4 drivers, 4 times, 4 routes– Y=elapsed time

Latin Square structure can be natural (observer can only be in 1 place at 1 time)

Observer, place and time are natural blocks for a Latin Square

Page 3: Latin Square Design

Latin Square Design

Example– Region II Science Fair years ago (7 by 7 design)

– Row factor—Chemical– Column factor—Day (Block?)– Treatment—Fly Group (Block?)– Response—Number of flies (out of 20) not avoiding the chemical

Page 4: Latin Square Design

Latin Square Design Day Chemical 1 2 3 4 5 6 7 Control A

19.8 G

16.8 F

16.7 E

15.8 D

17.3 C

18.1 B

18.0 Piperine B

13.0 A

5.3 G

14.0 F

7.2 E

14.1 D

10.8 C

14.7 Black Pepper C

13.0 B

11.0 A

12.3 G 8.6

F 14.5

E 15.8

D 12.7

Lemon Juice D 7.8

C 6.0

B 5.3

A 6.0

G 8.3

F 5.8

E 6.5

Hesperidin E 13.6

D 16.0

C 10.7

B 10.0

A 16.2

G 14.3

F 14.2

Ascorbic Acid F 15.0

E 12.2

D 11.7

C 12.2

B 13.2

A 16.0

G 11.8

Citric Acid G 14.5

F 14.7

E 11.0

D 11.2

C 9.5

B 17.2

A 15.7

Page 5: Latin Square Design

Power Analysis in Latin Squares

For unreplicated squares, we increase power by increasing n (which may not be practical)

The denominator df is (n-2)(n-1)

22

2

2

2

0:

0:

io

io

c

nLLH

nH

Page 6: Latin Square Design

Power Analysis in Latin Squares

For replicated squares, the denominator df depends on the method of replication; see Montgomery

22

2

2

2

0:

0:

io

io

c

snLLH

snH

Page 7: Latin Square Design

Suppose we have a Latin Square Design with a third blocking variable (indicated by font color):

A B C DB C D AC D A BD A B C

Graeco-Latin Square Design

Page 8: Latin Square Design

Graeco-Latin Square Design

Suppose we have a Latin Square Design with a third blocking variable (indicated by font style):

A B C DB C D AC D A BD A B C

Page 9: Latin Square Design

Graeco-Latin Square Design

Is the third blocking variable orthogonal to the treatment and blocks?

How do we account for the third blocking factor?

We will use Greek letters to denote a third blocking variable

Page 10: Latin Square Design

Graeco-Latin Square Design

A B C DB A D CC D A BD C B A

Page 11: Latin Square Design

Graeco-Latin Square Design

A B C D B A D CC D A BD C B A

Page 12: Latin Square Design

Graeco-Latin Square Design

Column1 2 3 4

1 Aa Bb Cg DdRow 2 Bd Ag Db Ca

3 Cb Da Ad Bg4 Dg Cd Ba Ab

Page 13: Latin Square Design

Graeco-Latin Square Design

Orthogonal designs do not exist for n=6

Randomization– Standard square– Rows– Columns– Latin letters– Greek letters

Page 14: Latin Square Design

Graeco-Latin Square Design

Total df is n2-1=(n-1)(n+1) Maximum number of blocks is n-1

– n-1 df for Treatment– n-1 df for each of n-1 blocks--(n-1)2 df– n-1 df for error

Hypersquares (# of blocks > 3) are used for screening designs

Page 15: Latin Square Design

Conclusions

We will explore some interesting extensions of Latin Squares in the text’s last chapter– Replicated Latin Squares– Crossover Designs– Residual Effects in Crossover designs

But first we need to learn some more about blocking…