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parameter estimation based on observed survival probabilities
http://www.talkstats.com/showthread.php/58193-parameter-estimation-based-on-observed-survival-probabilities?goto=newpost
Fri, 24 Oct 2014 21:38:32 GMTSay 100 samples have been pulled from a Normal distribution with unknown mean and variance. All I know about the results are the following:
• 23...Say 100 samples have been pulled from a Normal distribution with unknown mean and variance. All I know about the results are the following:

• 23 out of 100 are greater than 200
• 9 out of 100 are greater than 300
• 2 out of 100 are greater than 400

How would I find the best estimate of the mean and SD of the distribution based on this information?

Thanks in advance!
]]>Statisticsschleprockhttp://www.talkstats.com/showthread.php/58193-parameter-estimation-based-on-observed-survival-probabilitiesCoding problem
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Fri, 24 Oct 2014 21:22:30 GMTWe have several values ranked across columns, smallest to largest. We want to choose the second highest one. How do we do that?
Example:
41199...We have several values ranked across columns, smallest to largest. We want to choose the second highest one. How do we do that?

Example:
41199 41219 41284 41338

So we want to create a variable with the 41284 as the value.

Thanks!
Christina:tup:
]]>SPSSChristina Davilahttp://www.talkstats.com/showthread.php/58192-Coding-problemTwo-Step Conditional Logit Model In Horse-Racing
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Fri, 24 Oct 2014 20:44:14 GMTI'm reading "Comparing the effectiveness of one- and two-step conditional logit models for predicting outcomes in a speculative market" by Johnson and Sung (2007). The paper can downloaded as a .pdf here:

The part that I am having a problem with is the 2-step model. Can someone here explain more clearly the mechanics of this model? In particular, I have these questions:

1. I understand each fundamental and market variable is weighted, but how are these variables scaled? In "raw" form or in z-score form?

2. I'm very confused about the "explosion" process. In a practical sense, how do I select the best horse from the explosion process? It all seems unclear to me.

3. Would someone be able to walk me through the process of calculating a "winner" in a made-up numerical example?

I've been trying to work with this model for weeks, but my own sample is yielding consistently negative returns using this process. Thanks!
]]>Applied Statisticsjschatthttp://www.talkstats.com/showthread.php/58191-Two-Step-Conditional-Logit-Model-In-Horse-Racing