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Please remember to sign your messages on talk pages by typing four tildes (~~~~); this will automatically insert your username and the date. If you need help, check out Wikipedia:Questions, ask me on my talk page, or ask for help on your talk page, and a volunteer should respond shortly. Again, welcome! Un assiolo (talk) 18:02, 8 July 2024 (UTC)Reply

Hi, thanks for the message! I'm excited to get started here. So I should be signing talk pages messages like this: Jtbwikiman (talk) 18:15, 8 July 2024 (UTC)?Reply

Removal of section at Linear trend estimation

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Why do you say the section you removed is "too unclear to be useful"? Un assiolo (talk) 18:03, 8 July 2024 (UTC)Reply

Thanks for the question! Both of the following are unclear to me:
1. What purpose does this section serve towards "Linear Trend Estimation", the title of the page?
2. How does the text in the section help explain "Trends in random data", the title of the section?
Specific Comments:
"If a series that is known to be random is analyzed - fair dice falls or computer-generated pseudo-random numbers..."
Neither of the examples given are a "series that is known to be random". In fact, these are deterministic processes that are treated at random.
"– and a trend line is fitted through the data, the chances of an exactly zero estimated trend are negligible." Sure, but how is this relevant to the topic?
"If an individual series of observations is generated from simulations that employ a given variance of noise that equals the observed variance of our data series of interest, and a given length (say, 100 points), a large number of such simulated series (say, 100,000 series) can be generated." We are now talking about simulating a random process, which is barely related to the section's title "Trends in Random Data".
"These 100,000 series can then be analyzed individually to calculate estimated trends in each series, and these results establish a distribution of estimated trends that are to be expected from such random data (see diagram). Such a distribution will be normal according to the central limit theorem, except in pathological cases. A level of statistical certainty, S, may now be selected: 95% confidence is typical; 99% would be stricter, 90% looser. And the following question can be asked: what is the borderline trend value V that would result in S% of trends being between −V and +V?"
This paragraph begins to introduce the concept of Confidence Intervals in the Normal Distribution, a topic which is well-covered on Wikipedia and very out-of-place in this section. Jtbwikiman (talk) 18:14, 8 July 2024 (UTC)Reply