Compositional analysis of seasonal variation in Danish residual household waste

Abstract

 Users may download and print one copy of any publication from the public portal for the purpose of private study or research.  You may not further distribute the material or use it for any profit-making activity or commercial gain  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

COVID-19 and municipal solid waste (MSW) management: a review

“…Organic waste includes kitchen waste (Sahimaa et al 2015 ), food waste (Edjabou et al 2018 ; Zorpas et al 2015 ), and garden waste (Edjabou et al 2018 ; Sahimaa et al 2015 ). Kitchen waste includes the skins of fruits and vegetables (Sahimaa et al 2015 ).…”

“…Rotten vegetables are also considered as kitchen waste. Food waste includes fish, meat, cooked food, bakery and dairy products, fruits, and coffee grounds (Edjabou et al 2018 ; Zorpas et al 2015 ). Used tea bags and tea grounds are categorized under food waste.…”

“…Used tea bags and tea grounds are categorized under food waste. Gardening waste includes flowers (Edjabou et al 2018 ), sticks, and branches (Sahimaa et al 2015 ).…”

Characterizing the Urban Mine—Simulation-Based Optimization of Sampling Approaches for Built-in Batteries in WEEE

“…If the calculated probability value p is below 0.05, the null hypothesis that the data set is normally distributed is rejected. The weakness of the SW test with small sample sizes is considered by calculating the shape parameters of the distribution: skewness and kurtosis [60]. Normally distributed data is symmetrical, i.e., they have a kurtosis and skewness of 0.…”

“…Secondly, bootstrapping was used again to resample from the original dataset randomly but with smaller sample numbers starting from n i = 5 and increasing n i to the original number of samples n orig . For each subsample of n i , 1000 subsamples (B = 1000) were drawn [60], and the arithmetic mean (bootstrap mean x * i ) was calculated (see Figure 1b). Thirdly, we checked whether each bootstrap mean x * i lies within the 95% CI* of the simulated population distribution [58].…”