2016 Latent

HarpAcash And The Morals - Lamps (2016)  Music

Posted by Pisulik at Sept. 23, 2016
HarpAcash And The Morals - Lamps (2016)

HarpAcash And The Morals - Lamps (2016)
Folk, Folk Rock | MP3 CBR 320 kbps | 00:41:19 | 101 MB
Label: Latent Recordings | Release Year: 2016

HarpAcash & the Morals are celebrating the release of their upcoming LP, Lamps, by letting audiences stream the entire album a week ahead of schedule. Due out on September 23 via Latent Recordings, Lamps was recorded with Michael Timmins (Cowboy Junkies) at the helm in studio. Lead vocalist HarpAcash, guitarist Todd Jeffrey, and drummer Dan Trickett gathered to record the heartbreaking harmonies, graceful guitars, and the idiosyncratic minimalist percussion that forms the album.

Latent Magazine - Volume One, 2016  Magazines

Posted by koc2005 at Sept. 14, 2016
Latent Magazine - Volume One, 2016

Latent Magazine - Volume One, 2016
English | PDF | 102 Pages | 15.80 MB

Latent Image - Issue 9 2016  Magazines

Posted by Karabas91 at Sept. 14, 2016
Latent Image - Issue 9 2016

Latent Image - Issue 9 2016
English | True PDF | 82 pages | 17 MB

A magazine devoted to film photography and the written word.

Latent Image - Issue 8 2016  Magazines

Posted by Karabas91 at Sept. 14, 2016
Latent Image - Issue 8 2016

Latent Image - Issue 8 2016
English | True PDF | 82 pages | 13 MB

A magazine devoted to film photography and the written word.

Latent Image - Issue 7, 2016  Magazines

Posted by Karabas91 at Jan. 18, 2016
Latent Image - Issue 7, 2016

Latent Image - Issue 7, 2016
English | True PDF | 80 pages | 11 MB

A magazine devoted to film photography and the written word.

Latent Image - Issue 5, 2015  Magazines

Posted by Karabas91 at March 30, 2015
Latent Image - Issue 5, 2015

Latent Image - Issue 5, 2015
English | True PDF | 64 pages | 16 MB

A magazine devoted to photography and the written word.
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences (Repost)

Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences by Linda M. Collins
English | 2009 | ISBN: 0470228393 | 330 Pages | PDF | 5 MB

A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields.

Latent GOLD v4.5.0.11347  Software

Posted by }|{yk at Dec. 26, 2011
Latent GOLD v4.5.0.11347

Latent GOLD v4.5.0.11347 | 13.28 Mb

Latent GOLD 4.5 is a powerful latent class and finite mixture program. Latent GOLD contains separate modules for estimating three different model structures: Latent Class Cluster models; Discrete Factor (DFactor) models; Latent Class Regression models. The Advanced option includes additional advanced features for continuous latent variables (CFactors), multilevel modeling, and survey options for complex sample data.

Latent GOLD v4.5.0.11342  Software

Posted by Artist14 at Dec. 9, 2011
Latent GOLD v4.5.0.11342

Latent GOLD v4.5.0.11342 | 13.4 MB

Latent GOLD 4.5 is a powerful latent class and finite mixture program. Latent GOLD contains separate modules for estimating three different model structures: Latent Class Cluster models; Discrete Factor (DFactor) models; Latent Class Regression models. The Advanced option includes additional advanced features for continuous latent variables (CFactors), multilevel modeling, and survey options for complex sample data.

Latent GOLD v4.5.0.11319  Software

Posted by Artist14 at Nov. 16, 2011
Latent GOLD v4.5.0.11319

Latent GOLD v4.5.0.11319 | 13.4 MB

Latent GOLD 4.5 is a powerful latent class and finite mixture program. Latent GOLD contains separate modules for estimating three different model structures: Latent Class Cluster models; Discrete Factor (DFactor) models; Latent Class Regression models. The Advanced option includes additional advanced features for continuous latent variables (CFactors), multilevel modeling, and survey options for complex sample data.