Trend Analysis for Serially Correlated Climatic Data Series in RStudio using modifiedmk Package

[@caroltamez6798]

Amazing tutorial! Thank you so much for doing this video!

[@dagnekafani]

thank you, Dear Fitsum your videos are really helpful.

[@dnyaneshwararjunmadane-swe9235]

Hello Sir, Your tutorial was helpful and a quick guide as I was struck with autocorrelation and prewhitening process.

[@derejemengist7746]

Thanks, brother Its really helpful.

[@roshrandomerrors]

Thank you so much sir really helped me alot sir

[@zhehabeshascience3066]

great work

[@Dr.Fitsum_Teshome]

Thanks, Abe Keep supporting

[@drvinaymanohar]

@@Dr.Fitsum_Teshome Explain about Interpretation of output values.!

[@Dr.Fitsum_Teshome]

Vinay Manohar For 5% significance level, the null hypothesis (no trend) will be rejected, if absolute value of z_calculated is greater than z_tabulated (1.96) or if p-value is less than 0.05. Plus if S/τ is +ve >>> Increasing trend and if S/τ -ve >>>>> Decreasing trend.

[@sadiyaahamed6034]

Could you pls do a tutorial on innovative trend analysis its datasetformation and progrmmimg using sir Great classes sir

[@wisdomtube18]

Thanks so much

[@meenaraju9469]

Hello Sir, Your tutorial was helpful and a quick guide as I was struck with autocorrelation and prewhitening process. However, when I was reviewing literature on the confidence intervals for autocorrelation coefficient, for the upper limit negative sign for 1 was missed out in your tutorial. Thought it is required to mention as it would be helpful for researchers, who follow your tutorial. Regards, Meena

[@bharathashu6857]

As rightly mentioned by Meena mam negative sign is missing for the upper limit. And also many pieces of literature say that "If 'R' falls between the upper and lower limits of confidence interval (the data are considered serially correlated)" Please clarify this.

[@aoyanbhowmik4558]

Can You Suggest me Another helpful tutorial ?

[@botlhematlhodi5357]

Thank you so much @Tech-tutor with Fitsum for the videos

[@barobeyene6603]

Helo Fitsum can upload video on Sen's innovative trend analysis with all the necessary steps.

[@yousif_alyousifi]

Can we used Mann-Kendall test for daily data for three years ? or it should be yearly or seasonality?

[@eyobtemesgen6187]

is that necessary to do data quality test before doing Trend analysis ,like outlier test or not? if yes why you do not do outlier test before doing Trend? Thank you...!

[@Dr.Fitsum_Teshome]

Because it is a non-parametric test and does not require the data to be normally distributed since non- parametric statistics are usually much less affected by the presence of outliers and other forms of non- normality such as abrupt breaks.

[@sectionparasito6916]

it's a very good demonstration, thank you. a small remark about the significance level of self-correlation (horizontal line in blue on the plot) is it corresponds ±((1+1.645)*(N-2)^0.5 )/N-1 do you have a reference from an author?

[@Dr.Fitsum_Teshome]

section parasito yes it is. You can get plenty of papers about it if you search lag-1 autocorrelation test or pre-whitening procedure.

[@yenenehzerihun5759]

is there any way to get the documentation on this and other related video of yours.

[@sectionparasito6916]

I can't find any bibliographic references. please can you send me a web link to one of your references

[@snehamurmu4142]

Can you please share the PDF that you are displaying here.

[@azizinga]

Can you share the notes for R?