cross-sectional

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Related to Cross-sectional data: Longitudinal data

cross section

also cross-sec·tion (krôs′sĕk′shən, krŏs′-)
n.
1.
a. A section formed by a plane cutting through an object, usually at right angles to an axis.
b. A piece so cut or a graphic representation of such a piece.
2. Physics A quantity, measured in units of barns, used to express the probability of an encounter between particles over a given area in a collision. Also called collision cross section.
3. Statistics A sample meant to be representative of a whole population.
4. Informal A variety; a diversity.

cross′-sec′tion·al adj.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Adj.1.cross-sectional - of or relating to a cross section; "a cross-sectional slice"
2.cross-sectional - representing a plane made by cutting across something at right angles to its length; "cross-section views of the neck"
crosswise - lying or extending across the length of a thing or in a cross direction; "a crosswise street"; "the crosswise dimension"
References in periodicals archive ?
The study used cross-sectional data from 10 population based studies in 7 countries.
Contract notice:Reliance of 5 lots of reconstruction services, detection and transmission of cross-sectional data and the economic data of the fishing fleet italiana.
Since panel data combines both cross-sectional data as well as time series data, it is more effective in measuring effects that could not be determined in a pure time series data or cross-sectional data (Gujarati, 2004).
We used congener-specific cross-sectional data of four key PBDE congeners, BDE-47, BDE-99, BDE-100, and BDE-153, sampled in the following biomonitoring surveys in Australia: 2002-2003 [60 pooled samples (p.
This was based on nationally representative cross-sectional data from the Centers for Disease Control and Prevention (CDC) and National Health and Nutrition Examination Survey (NHANES 2003-2006).
They use the same models as in the second edition, and remain focused on cross-sectional data, but have rewritten almost every line of their SPost commands, which they originally developed using Stata 4 and Stata 5.
In the case of SFMs with cross-sectional data, only maximum likelihood estimation (MLE) and corrected ordinary least square (COLS) methods are used, and both methods require a specific distributional assumption of technical efficiency.
Moreover, this includes a short literature review to examine the use of cross-sectional data.
Past studies have used cross-sectional data, which cannot evaluate such changes over time.
Using pooled cross-sectional data on 486 registered CDM wind projects in China that started construction from 2002 to 2009, the authors assess whether technology transfer and learning drive down renewable energy costs in China.
Regression analysis is applied to cross-sectional data for 21 European economies (20 selected countries and the average of Eurozone), for which data are available.
Chapters 2-5 emphasize analyzing cross-sectional data using regression models.