How do I do a Spline data smoothing analysis?
458740
a spline is a function that helps with smoothing data.  Cubic splines are the most popular. It basically fits a cubic polynomial with the given input data.  You could search on Yahoo! search for cubic splines for more information.
123406
Try Chi square testing, it starts out complicated but once you understand it, it is way faster than punnett squares! You can find all kinds of stuff about it on the internet, it's a statistical analysis.
569719
the www.stockcharts.com:\n\nuse the tool to analyze GLD and IAU.
201111
You need to measure the distance between the closely spaced lines (J values).  Trans and cis J values will be different
839609
Curl, divergence, gradient.
826809
It is probably best to determine the range after you have the graph.  You will need to look at the local maximums, local minimums, and the horizontal asymptotes to determine the range.  (In other words, it is not a fast problem).
352702
There are a number of methods.  To help you locate (i.e. a Google Search) which method is best for you, consider the following specific methods:\n\nARIMA\nLinear/Non-Linear/Log Linear Trending\nFirst Differencing\nWinters\n\nStep 1:  Plot your data ... always plot your data\nStep 2:  Is there a Seasonal Component ?  Example:  If it's car sales, well then probably ... if it's pounds of beef purchased each month, probably no.\nStep 3:  Is it linear or could it be made linear (i.e. if you plotted the natural log of the values, does that straighten out the pattern a bit ?\n\nTime series forecasting can be very interesting ... I suggest that you seek out someone with a little experience in this area that can help you out.  This is generally college level (first/second year undergrad) stuff, so it's not too difficult, but not something that you'd really want to just "learn on your own"\n\nI do this professionally and would be glad to help (don't worry, I won't charge you).  Step 1 for that would be to send me your data and we'll take a look at it.  My contact info is in my profile.
837986
http://www.statsoft.com/textbook/stathome.html
100009
I am not quite sure what the question is. What should the manufacturer do? Did they already do the experiments or do you want to know what sort of experiments to do? Do you want to know how to reduce the data? How to present the data? What statistical tools might be useful?
683190
Map interpolation can be applied to a wide variety of data including 3-D data represented in 2-D (such as USGS topographic maps) and non-geographic datasets organized along any numerical coordinates. There are too many different algorithm types (such as bilinear, nearest-neighbor and B-spline) to describe them here. You might get a better answer if you could narrow your question to a specific kind of map or data. Also you can google "map interpolation" and browse the 5.5 million references.
978796
Study of data with respect to different spectral responses
342178
Try apache axis. You can use this tool for both client and server code.
487850
Right click on the line and select 'Add trendline'. Then select Linear and then click OK.
151606
if all the lines are equal in every way (duplicate) then you can put a measurment (dimension) from the existing line to a datum or border whichever you choose and then put a callout like 3@12.00' (3 lines at 12.00 feet)in the dimensionwith a arrow pointing at the line.\n\njeff
144396
Matlab, Gauss, S+ and probably a lot more.\n\nIn a pinch, you can also use MS-Excel.\nDownload this pdf file from Cliff Ragsdale´s book site:\nhttp://swlearning.com/quant/ragsdale/chapter12.exe\nIt actually works better than you´d think.\n\nOr go to http://swlearning.com/quant/ragsdale/fourth_edition/ragsdale.html\npick previous edition and student resource.
1989
I assume you are talking about vector analysis.  The graphical method would be drawing the vectors head to tail and to scale. and then drawing in the resultant and using your ruler and protractor to measure the displacement and angle.
424848
http://www.utexas.edu/its/rc/tutorials/stat/spss/spss1/