Advanced Time Series Analysis on Mac OS X

Advanced Time Series Analysis on Mac OS X. We develop novel tools for spectral analysis and estimation, significance testing, noise filtering and prediction of time series in geophysics, finance, and biomedical sciences. Check out our flagship software product - kSpectra Toolkit for Mac OS X! Using spectral estimation tools of kSpectra,. Time series is decomposed into noise and significant components - trend and oscillatory modes, which can be reconstructed and predicted! KSpectra 3.4.3.

OVERVIEW

The website spectraworks.com presently has an average traffic classification of zero (the smaller the higher page views). We have analyzed one page within the web page spectraworks.com and found three websites linking to spectraworks.com. There are one contacts and directions for spectraworks.com to help you connect with them. The website spectraworks.com has been online for one thousand and fifty-three weeks, nine days, twenty-two minutes, and fourteen seconds.
Pages Parsed
1
Links to this site
3
Contacts
1
Addresses
1
Online Since
Apr 2004

SPECTRAWORKS.COM TRAFFIC

The website spectraworks.com is seeing alternating quantities of traffic all through the year.
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SPECTRAWORKS.COM HISTORY

The website spectraworks.com was first filed on April 22, 2004. This site will go back on the market on the date of April 22, 2015. It is now one thousand and fifty-three weeks, nine days, twenty-two minutes, and fourteen seconds young.
REGISTERED
April
2004
EXPIRED
April
2015

SPAN

20
YEARS
2
MONTHS
8
DAYS

LINKS TO WEBSITE

Wikipedia, the free encyclopedia

Is an English artillery fort built in the 1860s to guard the lower Thames. It stands at Coalhouse Point in Essex. On the north bank of the river, at a location near East Tilbury. That was vulnerable to raiders and invaders. It was the last in a series of fortifications dating back to the 15th century and was the direct successor to a smaller mid-19th century fort on the same site. It was initially a front-line fortification, supported by Shornemead Fort. Shore Over time, as batteries.

MacStats Home Page for Macintosh statistical software

The Macintosh statistical software clearinghouse for twenty years. In March 2018, we added a forum to get your thoughts and input. And in April 2018, we added a guide to using SPSS. A surprisingly large and polished collection. Tell us about your experiences, correct problems, add information.

WHAT DOES SPECTRAWORKS.COM LOOK LIKE?

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CONTACTS

Domains By Proxy, LLC

Registration Private

DomainsByProxy.com 14747 N Northsight Blvd Suite 111, PMB 309

Scottsdale, Arizona, 85260

United States

SPECTRAWORKS.COM SERVER

I caught that a single root page on spectraworks.com took six hundred and sixty-nine milliseconds to download. I could not observe a SSL certificate, so therefore our crawlers consider spectraworks.com not secure.
Load time
0.669 sec
SSL
NOT SECURE
IP
198.144.188.31

NAME SERVERS

ns29.dns-shield.com
ns30.dns-shield.com

SERVER SOFTWARE

We identified that this domain is using the Apache os.

HTML TITLE

Advanced Time Series Analysis on Mac OS X

DESCRIPTION

Advanced Time Series Analysis on Mac OS X. We develop novel tools for spectral analysis and estimation, significance testing, noise filtering and prediction of time series in geophysics, finance, and biomedical sciences. Check out our flagship software product - kSpectra Toolkit for Mac OS X! Using spectral estimation tools of kSpectra,. Time series is decomposed into noise and significant components - trend and oscillatory modes, which can be reconstructed and predicted! KSpectra 3.4.3.

PARSED CONTENT

The website has the following in the homepage, "Advanced Time Series Analysis on Mac OS X." I analyzed that the web page also stated " We develop novel tools for spectral analysis and estimation, significance testing, noise filtering and prediction of time series in geophysics, finance, and biomedical sciences." They also stated " Check out our flagship software product - kSpectra Toolkit for Mac OS X! Using spectral estimation tools of kSpectra,. Time series is decomposed into noise and significant components - trend and oscillatory modes, which can be reconstructed and predicted! KSpectra 3."

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