With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...
Jim Chappelow is an independent consulting economist with over 13 years of experience in economic development, research, teaching, forecasting, and consulting. David Kindness is a Certified Public ...
In a unanimous decision, the California Supreme Court on May 29 reversed a class action verdict for a class which was based on a flawed statistical model to determine liability and damages. Duran v. U ...
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We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...
There is little dispute that the False Claims Act (FCA) is among the most potent weapons for fighting fraud and government waste. In just this past fiscal year alone, the DOJ utilized the FCA to ...
Sampling is the process of collecting some data when collecting it all or analyzing it all is unreasonable. Before addressing why sampling still matters when massive amounts of data are available and ...
Stratified random sampling is a method of sampling that divides a population into smaller groups that form the basis of test samples.
Bang! Bang! Bang! You're startled awake by a loud rapping on the front door. Who can it be? You're not expecting anyone. You don't owe any money so it can't be the bailiffs, and you haven't bought ...
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