- Technical Information
- Purpose
- References
SMP. Technical information
Version: |
2.1
(2000) |
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Authors: |
Silvia
Mato
A. Martín Andrés |
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Download: |
File name: |
SMP.EXE
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File size: |
70 Kb |
File type: |
executable |
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Purpose
The program provides the unconditional p-value
for comparing two independent binomial proportions.
If xi ~ B(ni; pi),
i=1,2, the aim is to test:
Ho º
p1=p2 (= p unknown)
vs Ha º
p1<p2 or Ha º
p1>p2 (one tail)
or vs Ha º
p1 ¹ p2 (two tails)
Under Ho: P(x1,
x2 | n1, n2, p)= C(n1,
x1) C(n2, x2) p^a1
(1-p)^a2 with a1 = x1+x2 and
a2= n1+n2-a1. For a target
error a the critical region is a set, CR, of
pairs (x1, x2); so the error a
is: a(p) = åCR
P(x1, x2 | n1, n2, p)
and the size of the test will be: a* = Max
a(p) in 0<p<1
This program compute that expression for different optimal
procedures for obtaining the CR.
The one-sided Ha considered is that indicate by the data:
Ha º p1< p2
if x1/n1 < x2/n2
---o0o---
References
For further details see:
- MARTÍN ANDRÉS, A. (1991). 'A review
of classic non-asymptotic methods for comparing two proportions by means
of independent samples'. Comm. Stat. -Sim. and Comp. 20 (2&3),
551-583.
- MARTÍN ANDRÉS, A. (1997). Entry 'Fisher's
exact and Barnard's tests'. Encyclopedia of Statistical Sciences.
Update Volume 2, 250-8. Ed.: Kotz, Johnson and Read. Wiley-Interscience.
- MARTÍN ANDRÉS, A. and HERRANZ TEJEDOR,
I. (1995). 'Is Fisher's exact test very conservative' Comp. Stat.
and Data Anal. 19, 579-591.
- MARTÍN ANDRÉS, A. and SILVA MATO, A.
(1994). 'Choosing the optimal unconditioned test for comparing two independent
proportions'. Comp. Stat. and Data Anal. 17, 555-574.
- MARTÍN ANDRÉS, A.; SANCHEZ QUEVEDO,
M. J. and SILVA MATO, A. (1998). 'Fisher's mid-p-value arrangement in
2x2 comparative trials'. Comput. Statis. & Data Anal. 29(1),
107-115.
- SILVA MATO, A. and MARTÍN ANDRÉS, A.
(1995). 'Optimal unconditional tables for comparing two independent
proportions'. Biom. Journal 37(7), 821-836.
- SILVA MATO, A. and MARTÍN ANDRÉS, A.
(1997). 'Simplifying the calculation of the P-value for Barnard's test
and its derivatives'. Stat. and Comp. 7, 137-143.
- SILVA MATO, A. and MARTÍN ANDRÉS, A.
(1997).SMP.EXE in http://www.jiscmail.ac.uk/files/EXACT-STATS
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