2010 Measurement Statistics Strategy 
Occam's Razor
MAY 14, 2012
Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ]. There are many different tools, both online and offline, that measure the elusive metric called brand strength. I believe it is one of the best possible ways to measure what humanity is thinking, and telling us via the queries they run on Google.
Occam's Razor
JANUARY 6, 2010
Change is hard, even if we know that we should be executing a multiplicity strategy to win in the web analytics 2.0 Before all the excitement of the new year wears out, here are five simple things I would love for you to try so that your company will have a glorious truly data driven 2010! #1: 2 Learn basic statistics.
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The Unofficial Google Data Science Blog
JULY 22, 2020
by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].
O'Reilly on Data
MARCH 20, 2019
They could also share their strategy with others, potentially leading to large losses for your company. Benchmark models : An older or trusted interpretable modeling pipeline, or other highly transparent predictor, can be used as a benchmark model from which to measure whether a prediction was manipulated by any number of means.
The Unofficial Google Data Science Blog
AUGUST 27, 2019
But importance sampling in statistics is a variance reduction technique to improve the inference of the rate of rare events, and it seems natural to apply it to our prevalence estimation problem. There are many strategies we can use to estimate this quantity, and we will discuss each option in detail. Statistical Science.
Occam's Razor
MARCH 23, 2010
Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. Part of it fueled by some Consultants. I suppose the rational is: self preservation before all else. It has simply not had a break to catch a breath and mature.
The Unofficial Google Data Science Blog
OCTOBER 12, 2017
1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. This question is statistical or methodological in nature. Know what matters.
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