Empirical models that attempt to estimate the public investment and economic growth link involve a wide variety including: the Cobb-Douglas production function; a behavioral approach cost/profit function which includes public capital stock; Vector Auto Regression (VAR) models; and government investment growth regressions.
regression | Regression analysis | Past life regression | Logistic regression | logistic regression |
The AM uses a one dimensional smoother to build a restricted class of nonparametric regression models.
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"Estimating Optimal Transformations for Multiple Regression and Correlation", Journal of the American Statistical Association 80:580–598.
Statistical methods (correlation and regression) were still in their infancy, so Guerry relied on graphic comparisons of maps and semi-graphic tables.
When Wakefield and his colleagues first reported in 1998 a possible association between autistic regression, inflammatory bowel disease (IBD), and MMR vaccines in the Lancet, they evaluated a dozen children with pervasive developmental disorders, apparent developmental regression, and intestinal symptoms, referred to the Royal Free Hospital.
During the following century the regression spread to some valleys in the western side of Aspromonte near the Straits of Messina, such as the Catona and Gallico Valleys.
A full Bayesian estimation approach has been used with MCMC sampling implemented in WinBugs with non-informative priors for the regression parameters.
In 1997, Wilby and Wigley divided downscaling into four categories: regression methods, weather pattern-based approaches, stochastic weather generators, which are all statistical downscaling methods, and limited-area modeling.
Around 1979, Anil Bera and Carlos Jarque while working on their dissertations on regression analysis, have applied the Lagrange multiplier principle to the Pearson family of distributions to test the normality of unobserved regression residuals and found that the JB test was asymptotically optimal (although the sample size needed to “reach” the asymptotic level was quite large).
Logistic regression, a regression technique that transforms the dependent variable using the logistic function
Unlike ordinary linear regression, however, logistic regression is used for predicting binary outcomes of the dependent variable (treating the dependent variable as the outcome of a Bernoulli trial) rather than continuous outcomes.
Segmented regression with confidence analysis may yield the result that the dependent or response variable (say Y) behaves differently in the various segments.
Ordinary least squares, a method used in regression analysis for estimating linear models
Homoscedasticity, one of the basic Gauss–Markov assumptions of ordinary least squares linear regression modeling, refers to equal variance in the random error terms regardless of the trial or observation, such that
CrimeStat: CrimeStat has Poisson, Poisson NB1, Poisson-Gamma(negative binomial), and Poisson-Lognormal regression models.
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Stata: Stata has a procedure for Poisson regression named "poisson", and for panel data "xtpoisson"
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SPSS: In SPSS, Poisson regression is done by using the GENLIN command
Zappella variant of Rett Syndrome or preserved speech variant: in this subtype of Rett syndrome the patients acquire some manual skills and language is partially recovered around the age of 5 years (that is after the regression phase).
Some statistical software packages like PSPP, SPSS and SYSTAT label the standardized regression coefficients as "Beta" while the unstandardized coefficients are labeled "B".
Kerans is still tormented by his psycho-analytical tendencies, ever analysing and debating the regression of the environment into a neo-Triassic period, but the brief quiet is ended by the arrival of Strangman.
In addition, the game (like other works inspired by Hogarth's The Rake's Progress (as well as his A Harlot's Progress)) follows the regression of the main character and the loss of the qualities which made him human in the first place.
This typically involves testing the UV reactor's disinfection performance with either MS2 or T1 bacteriophages at various flow rates, UV transmittance and power levels in order to develop a regression model for system sizing.