000 02565nam a22003615i 4500
001 288739
003 MX-SnUAN
005 20160429154640.0
007 cr nn 008mamaa
008 150903s2012 xxu| o |||| 0|eng d
020 _a9781461421344
_99781461421344
024 7 _a10.1007/9781461421344
_2doi
035 _avtls000340789
039 9 _a201509030351
_bVLOAD
_c201404300420
_dVLOAD
_y201402061034
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA276-280
100 1 _aMacFarland, Thomas W.
_eautor
_9299257
245 1 0 _aTwo-Way Analysis of Variance :
_bStatistical Tests and Graphics Using R /
_cby Thomas W. MacFarland.
264 1 _aNew York, NY :
_bSpringer New York,
_c2012.
300 _avii, 150 páginas 3 ilustraciones, 2 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aSpringerBriefs in Statistics ;
_v1
500 _aSpringer eBooks
520 _aIn statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts.  In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes a test between these groups. One test often used by statisticians and researchers in their work is the Two-Way ANOVA, which determines the differences--and possible interactions--when variables are presented from the perspective of two or more categories.  When a Two-Way ANOVA is implemented, it enables one to compare and contrast variables resulting from independent or joint actions. This brief provides guidance on how R can be used to facilitate Two-Way ANOVA for data analysis and graphical presentation.  Along with instruction on the use of R and R syntax associated with Two-Way ANOVA, this brief will also reinforce the use of descriptive statistics and graphical figures to complement outcomes from parametric Two-Way ANOVA. 
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781461421337
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4614-2134-4
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c288739
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