Distributions and Tests
Kunio Takezawa
Additional contact information
Kunio Takezawa: National Agricultural and Food Research Organization
Chapter Chapter 2 in Learning Regression Analysis by Simulation, 2014, pp 49-107 from Springer
Abstract:
Abstract A “population” denotes a set in which elements satisfy specific conditions, such as all people in a country, or all small cars in a country. In statistical terms, extracting part of the population is called “sampling from the population.” Instead of sampling, we sometimes say we are conducting a trial. Hence, a sample is a subset of the population. Measurements, surveys, or observations over the sample produce data. Data consist of numbers, categories, images, and text. Data can also be called realizations, observations (observed values), or measurements. The term “data set” (or dataset) is used when the plurality of the data should be emphasized. In practical data analysis, however, the distinction between the sample and the data (or dataset) is not usually important.
Keywords: XX ALL; Non-random Variation; Rejection Region (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-4-431-54321-3_2
Ordering information: This item can be ordered from
http://www.springer.com/9784431543213
DOI: 10.1007/978-4-431-54321-3_2
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().