Syntax - Stata

2cluster kmeans and kmedians— Kmeans and kmedians cluster analysis Options Main k(#) is required and indicates that # groups are to be formed by the cluster analysis.

  Syntax

Syntax Description - Stata

2substr()— Extract substring Diagnostics In substr(s, b, l) and substr(s, b), if b describes a position before the beginning of the string or after the end, "" is returned.

  Descriptions, Stata, Syntax, Syntax description

Title stata.com generate — Create or change …

Title stata.com generate — Create or change contents of variable SyntaxMenuDescriptionOptions Remarks and examplesMethods and formulasReferencesAlso see Syntax Create new variable generate type newvar

  Change, Content, Variable, Create, Stata, Generate, Generate create or change, Generate create or change contents of variable

SyntaxDescriptionRemarks and examplesAlso see

macro— Macro definition and manipulation 3 Macro extended functions related to matrices rownamesjcolnamesjrowfullnamesjcolfullnames matname roweqjcoleq

  Syntaxdescriptionremarks and examplesalso see, Syntaxdescriptionremarks, Examplesalso

Title stata.com graph box — Box plots

graph box— Box plots 3 Menu Graphics > Box plot Syntax graph box yvars if in weight, options graph hbox yvars if in weight, options where yvars is a varlist options Description

  Plot, Box plot

Title stata

area options — Options for specifying the look of special areas 3 Also see [G-2] graph dot — Dot charts (summary statistics)

  Title, Stata, Title stata

www.stata.com

2cluster dendrogram— Dendrograms for hierarchical cluster analysis The height of the vertical lines and the range of the (dis)similarity axis give visual clues about the

Title stata.com putexcel — Export results to an Excel …

putexcel— Export results to an Excel file 3 export options Description Main overwritefmt overwrite existing cell formatting when exporting new content

  Putexcel

destring — Convert string variables to numeric ... - …

Title stata.com destring — Convert string variables to numeric variables and vice versa SyntaxMenuDescription Options for destringOptions for tostringRemarks and …

  Title, Variable, Stata, Numeric, String, Convert, Title stata, Destring convert string variables to numeric, Destring

Title stata.com gettoken — Low-level parsing

Title stata.com gettoken — Low-level parsing SyntaxDescriptionOptionsRemarks and examplesAlso see Syntax gettoken emname1 emname2: emname3, parse("pchars") quotes qed(lmacname) match(lmacname) bind

  Title, Stata, Title stata

The Jackknife Estimation Method Avery I. McIntosh

The JackknifeEstimation Method Avery I. McIntosh 1 Introduction Statistical resampling methods have become feasible for parametric estimation, hypothesis testing, and model validation now that the computer is a ubiquitous tool for statisticians. This essay focuses on the resampling technique for parametric estimation known as the Jackknife ...

  Methods, Estimation, Jackknife, The jackknife estimation method, The jackknifeestimation method, Jackknifeestimation, The jackknife

Calculating Upper Confidence Limits for Exposure Point ...

use a method that yields a higher (i.e., more conservative) UCL based on its understanding of site-specific conditions, including the representativeness of the data collection process, and the limits of the available statistical methods for calculating a UCL.

  Methods, Upper, Confidence, Limits, Calculating, Calculating upper confidence limits for

ECONOMETRICS

ECONOMETRICS BRUCE E. HANSEN ©2000, 20211 University of Wisconsin Department of Economics This Revision: June 23, 2021 Comments Welcome 1This manuscript may be printed and reproduced for individual or instructional use, but may not be printed for commercial purposes.

  Econometrics

The R Package geepack for Generalized Estimating Equations

Generalized Estimating Equations (GEE) (Liang and Zeger 1986) are a general method for analyzing data collected in clusters where 1) observations within a cluster may be correlated, 2) observations in separate clusters are independent, 3) a monotone transformation of the

  Methods

COMPUTER AGE STATISTICAL I NF ER C

10.5 Influence Functions and Robust Estimation 174 10.6 Notes and Details 177 11 Bootstrap Confidence Intervals 181 11.1 Neyman’s Construction for One-Parameter Problems 181 11.2 The Percentile Method 185 11.3 Bias-Corrected Confidence Intervals 190 11.4 Second-Order Accuracy 192 11.5 Bootstrap-tIntervals 195

  Methods, Estimation

Resampling Methods: The Jackknife

{ The ith jackknife replication is ˙ i = v u u t 1 \ 19 X j6=i (x j x)2 which is calculated from the 19 values (without x i) in the ith jackknife sample. The values are given in the rst SD column. 3.2.1 Jackknife Bias Estimation Let b = Xn i=1 b (i)=n. The jackknife estimate of bias is de ned as bias(d b) = (n 1)( b b ) (3) The bias-corrected ...

  Estimation, Jackknife, The jackknife

An Introduction to Secondary Data Analysis

–Jackknife replication (JK1, JK2, JKn) –Choice of method depends on sampling design –Involves specifying series of replicate weights ... • Identify variance estimation method (and corresponding variables) • Conduct diagnostic analyses (identify outliers, non-normality, etc.)

  Analysis, Introduction, Data, Methods, Secondary, Estimation, Jackknife, Estimation method, Introduction to secondary data analysis

Title stata.com gmm — Generalized method of moments …

gmm— Generalized method of moments estimation 3 bootstrap, by, jackknife, rolling, statsby, and xi are allowed; see [U] 11.1.10 Prefix commands. Weights are not allowed with the bootstrap prefix; see[R] bootstrap. aweights are not allowed with the jackknife prefix; see[R] jackknife.

  Methods, Moment, Estimation, Generalized, Jackknife, The jackknife, Generalized method of moments, Generalized method of moments estimation