Analysis of Messy Data
Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores ways to use statisti...
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton
A CRC Press Company
1989
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| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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| 008 | 220511t19891989FLU ag# ##001 ##eng#D | ||
| 020 | # | # | |a 0412063719 |q hardback |q volume 2 |
| 020 | # | # | |a 9780412063718 |q hardback |q volume 2 |
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| 041 | 0 | # | |a eng |
| 090 | 0 | 0 | |a QA279 |b .M48 1984 |
| 100 | 1 | # | |a Milliken, George A. |d 1943- |e author |
| 245 | 1 | 0 | |a Analysis of Messy Data |c George A. Milliken, Dallas E. Johnson |
| 264 | # | 1 | |a Boca Raton |b A CRC Press Company |c 1989 |
| 264 | # | 4 | |c ©1989 |
| 300 | # | # | |a viii, 199 pages |b illustrations |c 24 cm |
| 336 | # | # | |a text |2 rdacontent |
| 337 | # | # | |a unmediated |2 rdamedia |
| 338 | # | # | |a volume |2 rdacarrier |
| 504 | # | # | |a Incudes bibliographical references and index |
| 505 | 1 | # | |a v. 1. Designed experiments -- v. 2. Nonreplicated experiments. |
| 520 | # | # | |a Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores ways to use statistical software to make the required computations feasible. |
| 650 | # | 0 | |a Analysis of variance |
| 650 | # | 0 | |a Experimental design |
| 650 | # | 0 | |a Sampling (Statistics) |
| 700 | 1 | # | |a Johnson, Dallas E. |d 1938- |e author |
| 856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=067761 |
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Analysis of messy data