R] = the estimated

**residual sum of squares**(RSS) of the full (F) and reduced (R) models, respectively (Kimura, 1980; Quinn and Deriso, 1999).This definition appears very frequently and is found in the following Acronym Finder categories:

- Science, medicine, engineering, etc.

See other **definitions of RSS**

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We have 524 other **meanings of RSS** in our Acronym Attic

- Abbreviation Database Surfer
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- Requirement Spread Sheet
- Requisitions Self Service
- Rescue Swimmer School (Navy and Marine Corps)
- Research Support Services (Vanderbilt Medical Center)
- Réseau Santé Social
- Resident Satisfaction Survey (various locations)
- Resident Set Size (*nix command)
- Resident Site Supervisor
- Residential Subscriber System
- Residential Support Services Inc.

- Resource Description Framework (RDF) Site Summary (lightweight XML format)
- Resource Sharing System (libraries)
- Resources Status Review
- Résumé de Sortie Standardisé
- Retail Store Solutions (IBM)
- Retek Store Systems
- Reusable Space Systems (Boeing)
- Rich Site Summary
- Rich Site Syndication (aka Realtime Site Syndication)
- Rig Site Survey (energy exploration)

R] = the estimated **residual sum of squares** (RSS) of the full (F) and reduced (R) models, respectively (Kimura, 1980; Quinn and Deriso, 1999).

Model selection : Model comparison and selection was based on statistics of predicted **residual sum of squares** (PRESS) because prediction is the most important focus here.

That is, the "V" trend is expected to be the most frequent since that would imply that **residual sum of squares** is a minimum when correlation of the error term is smallest (negative or positive).

a] will only increase if the **residual sum of squares** decreases.

The fit of the models was evaluated by comparing the sum of squared residuals (SSR) to the predicted **residual sum of squares** (PRESS).

Then if a further grouping of (n-p) data points are added, the updated regression parameter estimates are given by (5) [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] with **residual sum of squares** (RSS) given by RSS = [w.

The test statistic is F= [[(A--B)/(T--1) (K + 1)]/[B/(N--T(K + 1)]], where A = **residual sum of squares** from the combined sample, B = the **residual sum of squares** for each firm's sample summed over firms, T = number of subsamples, K = number of independent variables, and N = sample size.

Growth model adjustment to the data was made by using the nonlinear iterative Quasi-Newton method, minimizing the **residual sum of squares**.