eurotrash

Eurobricks Dukes
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About eurotrash

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    Put the FUN in funicular

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  1. eurotrash

    MOC: Darth Bender

    MOC: Darth Bender I've been working on this for a couple of days and went through eight different variations for the 'eye-box' - ranging from designs including wheel arches, cheese slopes, SNOT- and not SNOT, six wide and five wide. In the end I went back to version 5. Comments and ridicule most welcome and there's more stuff and nonsense on Flickr https://www.flickr.com/photos/eurotrash48903/
  2. MOC: Microscale Blues Brothers “There's 106 miles to Chicago, we've got a full tank of gas, half a pack of cigarettes, it's dark out, and we're wearing sunglasses.”
  3. eurotrash

    "Goodnight, sorry for sinking you."

    The U-boat is very well done and I'm digging the details you've got on the steamer.
  4. eurotrash

    MOC: The Walrus explorer....

    My immediate thought on seeing the name 'Kowalski' was the movie 'Vanishing Point'. It's one of the finest road movies ever made and highly recommended (but please do not watch the awful remake - check out the '71 original) :) Thanks for all the complements!
  5. eurotrash

    MOC: The Walrus explorer....

    I had a choice to either go and build a 'Be-prepared, ex-boy scout' type of Walrus explorer or a 'Hold-my-beer-and-watch-this' one. :) Thanks for the kind words. I had a fun building it. Thanks and you're very welcome.
  6. MOC : The Walrus Explorer leaves the farewell party in a kayak I was messing around with a Penguin design for a couple of days then had this bizarre image of a walrus in a kayak. I knew I had to build the two together. More stuff and nonsense on Flickr https://www.flickr.com/photos/eurotrash48903/
  7. MOC: McConaughey and Mee-Maw partying in the kiddie pool It started off as a scene with a water skier and shark and somehow I ended up with this vignette. More stuff and nonsense on Flickr https://www.flickr.com/photos/eurotrash48903/
  8. eurotrash

    MOC: Robo-Bath 2000

    Thanks for the kind words, I built the Legs and Arms and was working on the main body when I got frustrated with what I'd come up with. Mrs. Eurotrash asked what was up and I said "It looks like a <bleep>ing bath on legs." After a while that idea amused me so, I scrapped the arms and went full on bathtub. I appreciate your kind comments. I've shown the Cassette build a few times at exhibitions and the younger kids have no idea what it is. ("What's a BEE-FIVE-TWO-ESS?" - I despair for the future :) )
  9. eurotrash

    MOC: Robo-Bath 2000

    MOC: Robo-Bath 2000 Cyberdine and Bed, Bath and Beyond's latest joint business venture has resulted in the Robo-Bath 2000 - for all your hygienic transportation needs! More stuff and nonsense on Flickr. https://www.flickr.com/photos/eurotrash48903/
  10. eurotrash

    MOC: Marooned!

    You've probably already guessed that the fuselage is https://www.bricklink.com/v2/catalog/catalogitem.page?P=54096#T=C But the black 'door' is just an internal construct using curved pieces inside the spacecraft to ensure that you couldn't see into it. Dirty little secret: He has a crutch because I didn't have enough pieces to complete that second leg :)
  11. MOC: Tiki Swiss Army Knife An artist friend had started work on a Tiki Switchblade painting - and I just had to take the idea to the next level. So, I'd like to present my multi-function Tiki Swiss Army Knife. It includes a knife, a rasp file, a bottle opener and a cross-headed screw driver and they all fold back into the body of the Tiki. I tried using the bottle opener last night - it was rubbish! :) More stuff and nonsense on Flickr https://www.flickr.com/photos/eurotrash48903/
  12. eurotrash

    MOC: Marooned!

    Thanks for the kind words. No, it's not based on an actual movie..... but if it was I'd be the first in the queue to watch it! :)
  13. eurotrash

    MOC: Marooned!

    I've been thinking about building a pulp-fiction sci fi book cover from the 1950's for a while, but I found it difficult to build a 2D version. So, in the spirit of coloring outside the lines I built a 3D version and ignored the book covers boundaries. Hope you enjoy it! More stuff and nonsense on Flickr. https://www.flickr.com/photos/eurotrash48903/
  14. You're very welcome and, of course, if there's anything I can help with then please don't hesitate to reach out to me.
  15. No worries mate! Luckily I get paid to be an applied statistician and mathematician. AND I build things in Lego. So, here’s a MOC to help with the problem. Both charts contain the same amount of data (studs) and I’ve shown the +1/-1 Standard deviation in red and the mean with the black tile. The top chart shows data that is normally distributed and the lower chart shows skewed data. The same amount of tan and red plates straddle the mean but the shape is very different. Top Chart; Mean = 6.5, Standard deviation = 1.5, AVG +1/STDEV = 8, AVG -1/STDEV = 5 Bottom Chart; Mean is 8.5, Standard Deviation = broken and meaningless because the data asymmetric, but AVG +1/STDEV = 9, AVG -1/STDEV = 7. So the usual methods for calculating the STDEV just do not work for skewed data. However if we can mathematically manipulate the shape of that lower chart (using a formula) into something that resembles the top chart then we can calculate the STDEV thresholds and then using the same formula backwards we can calculate the thresholds for the skewed data. Luckily Im a lazy applied statistician so I use Excel to calculate the =skew()* of the data then create a simple power function like y=x^N and ‘Goal seek’ to find me a legitimate value of N that gives me a zero skew data set. Then I calculate STDEV as for ‘normally distributed data’ work out the thresholds (in this case the first 9 plates and the last 9 plates would be outside of +1/-1 STDEV . Then I can determine where those thresholds are on the actual skewed data by that running the inverse of that original power function..... good grief I’m boring myself to sleep here. 😀 TL:DR Open up the tool you’re using to crunch the numbers and google ‘How to calculate STD in skewed data sets in Tool X’ And as for useful links Wikipedia’s section on Stats is awesome! I’d start with Skewness and Data Transformation (Statistics) and see where that leads you. As I said before Congratulations on an awesome job! * I worry about =KURT() as well and also adjust for that in the power function. Kurt is kurtosis; the pointiness of the data set.