The 1 reference with contexts in paper Christopher F. Baum, Tairi Room (2001) “A test for long-range dependence in a time series” / RePEc:tsj:stbull:y:2001:v:10:i:60:sts18

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gen xb = -1 + 0.5*x1 + 1.5*x2 95% confidence interval for argext = (26.96566, 48.9067) only has to draw from a bivariate distribution and compute the turning point for each draw. The latter is quite fast. spatcorrcomputes and optionally plots Moran’sIor Geary’scspatial correlogram based on two or more consecutive or Largest minimum distance: 0.67 Stata commands may be used to determine this, includingsummarize,list,inspect,andcodebook. In addition, the command Exp2.0486917 .0103251 4.72 0.000 .0283926 .0689908 With the release of Stata 7, the commandsnbreg,xtclog,xtintreg,xtlogit,xtnbreg,xtpois,xtprobit,xtreg, ycoord(varname)specifies the name of the variable containing they-coordinate of each location in the analysis. Both the spatgs
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    rep(1000) kdensity seed(123) sg162Tools for spatial data analysis drop(numlist), if used with optionusingfilename, specifies the cases (rows) and variables (columns) to be dropped before savegraph(filename[, replace])requests that the graph be saved infilename.Iffilenameexists, an error will occur unless model(error)requests that the spatial error model be estimated. symmetric W
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    Finally,spatwmatcan be used to generate the eigenvalues matrix required byspatreg: where variableYcan take only positive values, andwijdenotes the elements of a nonstandardized symmetric binary weights Using spatcorr Using spatlsa 19-0.024 -0.125 2.289 0.044 0.482 380.181 0.122 0.022 2.625 0.004 387.290 -0.104 2.11 3 3.498 0.000 where-denotes the spatial aut

  2. In-text reference with the coordinate start=4643
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    rep(1000) kdensity seed(123) sg162Tools for spatial data analysis drop(numlist), if used with optionusingfilename, specifies the cases (rows) and variables (columns) to be dropped before savegraph(filename[, replace])requests that the graph be saved infilename.Iffilenameexists, an error will occur unless model(error)requests that the spatial error model be estimated. symmetric W
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    Finally,spatwmatcan be used to generate the eigenvalues matrix required byspatreg: where variableYcan take only positive values, andwijdenotes the elements of a nonstandardized symmetric binary weights Using spatcorr Using spatlsa 19-0.024 -0.125 2.289 0.044 0.482 380.181 0.122 0.022 2.625 0.004 387.290 -0.104 2.11 3 3.498 0.000 where-denotes the spatial aut

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    Illustrating difference of two means, selecting number of clusters Description . egen q = rprod(a-c) in 8/11 The sequence of operations ismax(),words,format(),sep(). In this toy example, it would have been no more work to do it the direct way gr46Display a graph of nonlinear effects Expected Chi-Squared d.f. = 1 W
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    (0-1]0.416 -0.021 0.062 7.105 0.000 SourceSS df MS Number of obs = 400 Moran scatterplot (Moran’s I = 0.511)Residential burglaries & vehicle thefts per 1,000 households a circle, locations belonging to quadrant 2 (low-low spatial association) are represented by a square, locations belonging to Total13438.2195 48 279.962907 Ro

  4. In-text reference with the coordinate start=42885
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    Illustrating difference of two means, selecting number of clusters Description . egen q = rprod(a-c) in 8/11 The sequence of operations ismax(),words,format(),sep(). In this toy example, it would have been no more work to do it the direct way gr46Display a graph of nonlinear effects Expected Chi-Squared d.f. = 1 W
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    (0-1]0.416 -0.021 0.062 7.105 0.000 SourceSS df MS Number of obs = 400 Moran scatterplot (Moran’s I = 0.511)Residential burglaries & vehicle thefts per 1,000 households a circle, locations belonging to quadrant 2 (low-low spatial association) are represented by a square, locations belonging to Total13438.2195 48 279.962907 Ro