Dear Data Scientists. ANOVA is a powerful method. You often mention it in your posts. Sadly, I noticed, that you treat it mostly in the simplest way, while it's far beyond that! Well, Fisher didn't invent it with all those applications in mind, but it turned out, over time, that the procedure can be generalized greatly, constituting one of the most important methods in statistics.
You think you know all about it? ANOVA may surprise you.
You might have wondered, why: - is ANOVA called in so many contexts: to compare means, models, testing contrasts? - why is it called with either F or chi2 test (yes, it's about limiting distribution, but how?) - why is it important to call it with appropriate type of sum of squares (when)? - what is the relationship with LS-Means - what does "joint test" actually means.
You might believe that the Tukey HSD method must agree with the result of F test in ANOVA. / No, it doesn't. Scheffe's does. /
If you pick the right answer, then do a research, you will understand how deep is the rabbit hole.
Dear Data Scientists. ANOVA is a powerful method. You often mention it in your posts. Sadly, I noticed, that you treat it mostly in the simplest way, while it's far beyond that! Well, Fisher didn't invent it with all those applications in mind, but it turned out, over time, that the procedure can be generalized greatly, constituting one of the most important methods in statistics.
You think you know all about it? ANOVA may surprise you.
You might have wondered, why: - is ANOVA called in so many contexts: to compare means, models, testing contrasts? - why is it called with either F or chi2 test (yes, it's about limiting distribution, but how?) - why is it important to call it with appropriate type of sum of squares (when)? - what is the relationship with LS-Means - what does "joint test" actually means.
You might believe that the Tukey HSD method must agree with the result of F test in ANOVA. / No, it doesn't. Scheffe's does. /
If you pick the right answer, then do a research, you will understand how deep is the rabbit hole.
Spiking bond yields driving sharp losses in tech stocks
A spike in interest rates since the start of the year has accelerated a rotation out of high-growth technology stocks and into value stocks poised to benefit from a reopening of the economy. The Nasdaq has fallen more than 10% over the past month as the Dow has soared to record highs, with a spike in the 10-year US Treasury yield acting as the main catalyst. It recently surged to a cycle high of more than 1.60% after starting the year below 1%. But according to Jim Paulsen, the Leuthold Group's chief investment strategist, rising interest rates do not represent a long-term threat to the stock market. Paulsen expects the 10-year yield to cross 2% by the end of the year.
A spike in interest rates and its impact on the stock market depends on the economic backdrop, according to Paulsen. Rising interest rates amid a strengthening economy "may prove no challenge at all for stocks," Paulsen said.
The STAR Market, as is implied by the name, is heavily geared toward smaller innovative tech companies, in particular those engaged in strategically important fields, such as biopharmaceuticals, 5G technology, semiconductors, and new energy. The STAR Market currently has 340 listed securities. The STAR Market is seen as important for China’s high-tech and emerging industries, providing a space for smaller companies to raise capital in China. This is especially significant for technology companies that may be viewed with suspicion on overseas stock exchanges.
