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

9. The Weibull Distribution

The Weibull Distribution In this section, we will study a two-parameter family of distributions that has special importance in reliability. The Basic Weibull Distribution 1. Show that the function given below is a probability density function for any k > 0: f(t)=k tk−1 exp(−tk), t > 0

  Distribution, Weibull, Weibull distribution, The weibull distribution

Parametric Survival Models - Princeton University

The Gompertz distribution is characterized by the fact that the log of the hazard is linear in t, so (t) = expf + tg and is thus closely related to the Weibull distribution where the log of the hazard is linear in logt. In fact, the Gompertz is a log-Weibull distribution. This distribution provides a remarkably close t to adult mortality in

  Distribution, Weibull, Weibull distribution, The weibull distribution

Survival Distributions, Hazard Functions, Cumulative Hazards

exponential distribution (constant hazard function). When is greater than 1, the hazard function is concave and increasing. When it is less than one, the hazard function is convex and decreasing. t h(t) Gamma > 1 = 1 < 1 Weibull Distribution: The Weibull distribution can also be viewed as a generalization of the expo-

  Distribution, Survival, Functions, Hazards, Weibull, Weibull distribution, The weibull distribution, Hazard function

Weibull Analysis - statvision.com

Weibull distribution. In the current example, the P-Value is large, suggesting that the Weibull distribution is a reasonable model for the data. The goodness-of-fit tests are described in detail for uncensored in the documentation for Distribution Fitting (Uncensored Data) and for censored data in Distribution Fitting (Censored Data.

  Distribution, Weibull, Weibull distribution, The weibull distribution

Procedures for estimation of Weibull parameters

Weibull distribution is occuring as wood construction practices in the United States and Canada are revised from deterministic procedures to reliability-based design (RBD) procedures. The two-parameter Weibull distribution is the underlying basis of the calculations in load and resistance

  Distribution, Weibull, Weibull distribution

A Statistical Distribution Function of Wide Applicability

WEIBULL-ASTATISTICAL DISTRIBUTION FUNCTION OF WIDE APPLICABILITY 297 Ifthe classes 17-18are pooled, the value of X' - 4.50, and the doff9 - 31/, - 51/ , give a P - 0.56. It may be of interest to compare this result with those of Charlier and Crama-.

  Distribution, Statistical, Functions, Wide, Applicability, Weibull, A statistical distribution function of wide applicability, Astatistical distribution function of wide applicability, Astatistical

Distribution Weibull Fitting - NCSS

Distribution (Weibull) Fitting Introduction This procedure estimates the parameters of the exponential, extreme value, logistic, log-logistic, lognormal, normal, and Weibull probability distributions by maximum likelihood. It can fit complete, right censored, left censored, interval censored (readou t), and grouped data values.

  Distribution, Fitting, Weibull, Distribution weibull fitting