Suite versus composite statistics

✍ Scribed by James H. Balsillie; William F. Tanner

• Book ID: 104167335
• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 102 KB
• Volume: 125
• Category: Article
• ISSN: 0037-0738
• DOI: 10.1016/s0037-0738(99)00005-6

✦ Synopsis

Suite and composite methodologies, two statistically valid approaches for producing statistical descriptive measures, are investigated for sample groups representing a probability distribution where, in addition, each sample is a probability distribution. Suite and composite means (first moment measures) are always equivalent. Composite standard deviations (second moment measures) are always larger than suite standard deviations. Suite and composite values for higher moment measures have more complex relationships. Very seldom, however, are they equivalent, and they normally yield statistically significant but different results. Multiple samples are preferable to single samples (including composites) because they permit the investigator to examine sample-to-sample variability. These and other relationships for suite and composite probability distribution analyses are investigated and reported using granulometric data.