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Table of Contents(Click on the contents entry to read it) |
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Training and WebinarsSTATISTICA Training: Using STATISTICA for Data Analysis
The first section of this course teaches you the techniques involved in getting your data into the STATISTICA environment. We cover features such as value labels, variable labels and calculation of new variables, all of which you can use to make your reports more easily understood. The course deals in detail with tabular and graphical data summaries, and in learning to do this you learn the basic techniques for setting up data analysis that are used throughout the program, including when performing statistical analysis. Several basic statistical methods are introduced, giving you the basic skills that you need to allow you to explore these and other techniques on your own when it is appropriate. Investment: $895 + GST
MATLAB Webinar: MATLAB for Programmers
You should attend this webinar if you: Presenter: Dr Ray Hoare Mathcad Webinar: Design Calculations and documentationwith Mathcad
Presenter: Dr Ray Hoare
STATISTICA Webinar: Data analysis –
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Dates |
Conference |
City |
Sponsorship |
13-14 May |
Rotorua |
TBD |
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17-18 June |
Christchurch |
HRS Exhibiting |
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29 June - 1 July |
Palmerston North |
TBD |
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30 June - 2 July |
Auckland |
HRS Exhibiting |
If you live in a city where HRS will be exhibiting and you would like to meet with Ray, send an email to ray@hrs.co.nz, to arrange a place and time
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What's New in Release 2010a Release 2010a includes new features in MATLAB and Simulink, one new product, and updates and bug fixes to 85 other products. Subscribers to MathWorks Software Maintenance Service can download product updates. Beginning with R2010a, PolySpace products require activation. Visit the License Center to download products, activate software, and manage your license and user information.
For a full list of what's new in release 2010a, visit:
http://www.mathworks.com/products/new_products/latest_features.html?s_v1=9232409_1-7F38X
to contact Bruce to discuss MATLAB products.
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If you are standardised on MATLAB R2009b and are not able to upgrade to the latest release R2010a, then release R2009b Service Pack 1 is now available by download only. The Service Pack provides updates to fourteen products that resolve issues reported in R2009b. These same issues are also covered in release 2010a. If you are subscribed to Software Maintenance Service through May 1, 2010 you can download updated products for which you are licensed.
to contact Bruce to discuss MATLAB products.
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Lecturers, academics and students should take advantage of the free resources that are available on the MathWorks Website. If you manage links to these MATLAB resources, please check to see if your links are up to date.
Visit the links below to view these online resources:
to contact Bruce to discuss MATLAB products.
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to contact Bruce to discuss MATLAB products.
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Maple T.A. 6 Now AvailableWhat’s New in Maple T.A. 6
Maple T.A. can now be incorporated into virtually any course management system,including Moodle. This latest release
also includes a translatable interface,
performance improvements, and enhancements to the question repository.
The Maple T.A. Connector for Blackboard Software (available separately) has been updated to work with Maple T.A. 6.
For more details, click here:
http://www.maplesoft.com/products
/mapleta/new.aspx?P=TC-1243
to contact Glen to discuss Maple T.A.
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Chalmers University of Technology in Gothenburg, Sweden has deployed Maple T.A. to improve student success in Mathematics. The goal of Chalmers University was to strengthen incoming students' math knowledge before the students begin their mathematics studies at the university level. This story talks about how this was achieved and discusses the benefits of deploying an online solution from an administration perspective as well as from the student's perspective.
To read the entire story, please visit:
http://www.maplesoft.com/company/publications/articles/view.aspx?SID=35161
to contact Glen to discuss Maple T.A.
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There are three new Maple White Papers available on combustion engine modelling from MapleSoft.
This article will demonstrate the process of preparing and deploying the MapleSim engine model to a National Instruments real-time platform using the new real-time testing software, NI VeriStand.
This article describes the developments of a mean-value model of an internal combustion engine using MapleSim.
This article will document the process of exporting the engine model to Simulink for further development and deployment to real-time systems such as dSPACE.
to contact Glen if you wish to be sent any of these white papers by email.
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STATISTICA Data Miner has become very competitive in recent years with the addition of several key components like:
to contact Glen to discuss STATISTICA Data Miner.
New features, multiple languages improve ease-of-use and power
@RISK 5.5.1 and DecisionTools Suite 5.5.1 are available now for immediate download. The DecisionTools Suite is the world's only integrated set of risk and decision analysis programs, and has been released in a new update that includes new features as well as full translations into Spanish , Portuguese , German , French , and Japanese. All dialogs, menus, documentation, examples and tutorials have been carefully translated, making the DecisionTools Suite more accessible to decision makers around the world.
DecisionTools Suite 5.5.1 includes new versions of @RISK for Monte Carlo simulation, PrecisionTree for decision trees, and TopRank for "what if" sensitivity analysis. In addition, DecisionTools Suite comeswith new versions of StatTools for statistical analysis and forecasting, NeuralTools for predictive neural networks, and Evolver and RISKOptimizer for optimization. All programs work together better than ever before, and all integrate completely
with Microsoft Excel for ease of use and maximum flexibility.
What's New in DecisionTools Suite 5.5.1
in Excel that lets you customise and automate your neural networks models.
to contact Glen to discuss @RISK or the Decision Tools Suite.
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Background
Founded in 2006 and based in Silicon Valley, Tioga Energy, is a leading supplier of renewable energy services to commercial, government, and non-profit institutions. It enables access to affordable 'clean' energy in Ontario, Canada, and various US states, including California, which consumes more electricity than all but twelve of the largest countries in the world.
Tioga provides project financing through its SurePathSM Solar (PPAs), and maintains and operates solar systems on behalf of its customers. Its offering delivers predictably priced power and enables organisations to both 'green' their operations and reduce energy costs. In order to illustrate the benefits of solar, Tioga needs to estimate future electricity prices and make comparisons by showing the savings from a new solar system.
Go to top'Hedging Against Utility Rate Fluctuations with a Solar PPA'
With a solar PPA, customers pay only for the electricity generated by a solar system – the capital equipment required for that system, along with its design, implementation and maintenance are financed and managed by the solar power provider. However, PPAs require customers to commit to a fixed energy price over a long period of time, such as 20 years. To illustrate the financial benefits of being 'locked-in' to such an agreement, Tioga Energy prepared a report, 'Hedging Against Utility Rate Fluctuations with a Solar PPA' (available for download), that compared probable future electric utility rates in California with the cost of electricity from a solar PPA.
Read the full article at: http://www.hrs.co.nz/At-Risk-Case-Study-Tioga.aspx.
to contact Glen to discuss @RISK.
You can use the RiskTheo function in @RISK to determine the parameters of a discrete distribution based on a continuous one. In this example, the RiskTheo functions of @RISK work out the P10, P50, and P90 percentiles of a continuous distribution (in this case the LogNormal), and the Mean and Standard Deviation of a RiskDiscrete distribution which has these X-values and some assumed probabilities (or weights). It then uses Excel's Solver to work out the probabilities required so that the discrete distribution based on these percentiles and probabilities would have the same mean and standard deviation as the continuous distribution.
Download the example: CtsToDiscrete.xls
to contact Glen to discuss @RISK.
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Check out the Apian Blog which provides a range of articles including tips on how you can use SurveyPro for your projects:
Visit http://blog.apian.com/ to read these articles.
to contact Glen to discuss SurveyPro.
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CLC bio have released an update to the beta de novo assembler with a few bug fixes and minor performance improvements.
Users of the Workbench plug-in will automatically get an update notification, whereas users of the NGS Cell beta will need to download a new copy.
to contact Bruce to discuss CLC bio products.
CLC bio has released a groundbreaking whole-genome de novo assembler that will assemble genomes of any size, including human and plant genomes on a single workstation computer. Equally important, CLC bio’s de novo assembler is the first assembler that enables molecular biologists to set up, adjust, and run their large genome de novo assemblies through a graphical user-interface.
Director of Scientific Software Development at CLC bio, Dr. Roald Forsberg, states:
Go to top“Modest hardware requirements and the first user-friendly graphical interface for whole genome de novo assemblies, will democratise this technology. By empowering scientists around the world with this technology, the number and size of de novo assembly projects will increase. In accordance with our cross-platform strategy, we will also support all the upcoming Third Generation Sequencing technologies, so our customers can reap the full benefits of all the exciting technological advances of the future.”
CLC bio’s new de novo assembler solves four of the major de novo assembly challenges that are experienced by the scientific community today:
Read more about CLC bio’s de novo assembler here: www.clcdenovo.com
to contact Bruce to discuss CLC bio products.
This tutorial is the second part of a series of tutorials about RNA-Seq. The aim of the tutorials is to take you from start to end of an RNA-Seq analysis including mapping of reads, interpreting results, checking quality and finally doing statistical analysis.
Download http://www.clcbio.com/examples/pdf/RNA-Seq_analysis_part_II.pdf
to contact Bruce to discuss CLC bio products.
When you save a forecast project, Forecast Pro TRAC stores both the statistical forecasts and the final (i.e., adjusted) forecasts in the project’s database. This means that if you have been updating your project and forecasts every planning period (for example, every month), that in addition to the current month’s forecast, your project’s database will contain forecasts that were generated in previous months. This record of the previously generated forecasts isreferred to as the forecast archive.
Maintaining a forecast archive allows you to track your forecast accuracy by comparing your forecasts to what actually happened.
To illustrate forecast accuracy measurement and tracking in Forecast Pro TRAC we are using an example drawn from the Forecast Pro TRAC User’s Guide. The User’s Guide provides detailed tutorial exercises; accompanying data files are installed when the program is installed. The example comes from a company called ABC Bakery. In the screenshot below, a 12-month forecast for an individual item to a specific customer is shown.
Notice that for the current forecast period, the historic data begins in mid-2006 and ends in June 2009, and that the first forecast period is July 2009. Forecast Pro TRAC refers to the most recent historic data period used to generate a forecast as the forecast origin. Thus, for the current forecast, the forecast origin is June 2009...
To read the full article, visit:
http://www.forecastpro.com/Trends/FPTipsAndTricksFebruary2010.html
to contact Glen to discuss Forecast Pro.
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Remcom's collection of Application Examples is one of the most popular features on their website.
Here are three examples:
A circularly polarised microstrip antenna is designed and simulated in XFdtd with a comparison between simulated and measured return loss values.
Read the Circularly Polarised Microstrip Antenna example…
Go to topThe ability of XFdtd to generate arrays is used in this example of a three patch antenna array.
Read the Three Patch Array example…
Accurate results are easily obtained after generating the antenna using the XFdtd 7.0 sketching tools.
Read the Dual Frequency Inverted FL Antenna example…
to contact Bruce to discuss XFdtd.
This video demonstrates how XFdtd allows the user to create and manipulate extremely detailed models. A CAD model of a sedan is imported and then material properties are assigned for each part. The result is a very accurate model of the vehicle which can be used as a test bed for antenna simulations.
to contact Bruce to discuss XFdtd.
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HRS has sponsored many association and society events over the years and we will continue to do this for events where delegates have a strong need for our products.
If you or an associate are organising a conference where the delegates could benefit from using the many mathematics based products sold and supported by HRS, please contact Leon by emailing leon@hrs.co.nz or by calling him on 0800 477 776.
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If you have any newsworthy user stories related to our products that you think our customers would be interested in reading, please contact Leon.
to email Leon or call him on
0800 477 776 to supply us with your product news.
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If we sponsor your event, or your delegates are likely to be using one of our products, contact Leon to place details of your conference on our website.
to email Leon or call him on
0800 477 776 to advertise your event.
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Best wishes,
Leon Tepania
Marketing Manager
Hoare
Research Software Ltd
Email: leon@hrs.co.nz