Home improvement and decor services.
Am a women from Zimbabwe and i have a love for our special Zimbabwean stone and the hard work that is put in sculp We specialise in wood products [ upholstery carpentry ] and also innovative design and space management. Small business in Zimbabwe under women of virtue investments, Decor by Glynnis selling lounge and bedroom accessor Sign In.
Join as a Pro. Send a Houzz Gift Card! Storage and Seating Sale. Ultimate Bar Stool Sale. Upholstered Living Room Furniture. Dining Room Seating Sale. Antique Furniture Sales. Custom Furniture. Custom Table. Lighting Sales. Antique Restoration. Custom Pool Tables. Furniture Delivery. Outdoor Furniture Sales. Custom Framing. Custom Rugs. Furniture Sales. Pool Table Repair. City, State, or Zip. Use My Current Location. Popular Locations. Harare, Harare, Zimbabwe.
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Find the best local pros. I need: in: Search. Relevancy Ranking? View Profile. Referral from Mar 15, Zimvine A. Kirst M. HarareHarare Referral from Apr 01, Sarah S.
Tayla W. Referral from Oct 05, Sophie S. Ivy N. Referral from Oct 14, Rugare N. Tracy R. Referral from Mar 29, Mandy M. Bernice H. Referral from Mar 20, Mandy-ann E. Referral from Jul 17, Sign in. Find the best local pros. I need: in: Search. Relevancy Ranking? View Profile. Referral from May 30, Lynda R. Lindsay S. Referral from Mar 27, Sarah V.
Cindy L. Referral from Mar 11, Eileen P. Tammy P. Frequently Mentioned on Social Media? Referral from January 24, Where can I get cushions made for pallet furniture? Super reliable and reasonably priced. Nicole Pretty Kay does nice ones. Borrowdale Upholsterers.
Referral from January 4, Looking for anyone who can do these for me and not cost an arm and a leg. Please it's urgent. We had blinds done by Lunesco Contact H-Man Services, Simon on He has a f. Very reasonable.
Furniture Stores in Harare, Zimbabwe
Referral from November 27, Hello Viners I'm looking for someone who can make these chairs from scratch? Please if you could send me quotes. And if you can make it with Reclaimed Orogen pine. Manhattan Interiors. Edmore Dzapasi. Elite Interiors Nicola de Wet. Referral from March 11, Hi all, anyone have an honest reliable person who can probide cushions and covers for grass garden furniture below? Recommend Taydan Sewing too!I picked a 27-23 Eagles' win then too, and they won 28-23.
Also, the Redskins won in Seattle just a few weeks ago and, I mean, did you watch that game on Thursday night. Like us on Facebook: PhillyVoice Sports Matt Mullin googletag. All rights reserved Facebook Twitter Google Plus LinkedIn Instagram Pinterest googletag. MORE ON THE EAGLESEagles sign WR Alshon Jeffery to four-year extensionEagles-Seahawks injury report, with analysisRounding up the experts' picks for Eagles-SeahawksSeahawks haven't been this big of a home dog since. Mailbag: Vikings would win most tiebreakers with EaglesBut not everyone believes that the Birds will improve to 11-1 on Sunday night.
Rams Preview: Week 2 betting lines, predictions, analysis, how to watch USA TODAY Sports Redskins vs. Chicago The Washington Redskins are coming off a Week 1 loss to the Eagles at home, and now have to make a cross country trip to Los Angeles to face former offensive coordinator Sean McVay and the Rams.
The Redskins spent the week answering questions about a number of issues, most very similar to what we saw during the preseason, which definitely worries some people. Here are some of the biggest storylines and predictions from CSN Redskins insiders JP Finlay and Rich Tandler for Sunday. RELATED: WEEK 1 NFL POWER RANKINGSRadio: Redskins Radio Network, ESPN 710 AM, 100. The game is set to begin 4:25 p.
Will playing their former offensive coordinator Sean McVay give them an advantage. How much will it impact them. What were the trends we saw. What does Jay Gruden want to see to give him more. Jay Gruden expects more. In their last four road games against the Rams, however, the Redskins are just 1-3 SU and ATS.
The Rams are 1-6 SU in their last seven games at home.
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JP Finlay: The Redskins offense looked terrible in Week 1, and it started with QB Kirk Cousins. Want some good news. That hasn't happened for the Washington passer in consecutive games since October 2015. Expect Cousins and the 'Skins offense to rebound in LA. Even with the bad effort against the Eagles, the Redskins till had a chance for the win late in that game.
The effort will be better, the team won't turn the ball over four times, and Washington wins. Gruden outlined the key for the Redskins in a press conference this week when he emphasized the importance of getting to the quarterback on several occasions.
They should be able to both get to Jared Goff and, unlike last week, bring him down.However, it may sometimes lead to serious problems.
For example, a systematic bias may result from a "hidden" systematic distribution of missing data, causing different correlation coefficients in the same correlation matrix to be based on different subsets of subjects. In addition to the possibly biased conclusions that you could derive from such "pairwise calculated" correlation matrices, real problems may occur when you subject such matrices to another analysis (e.
Thus, if you are using the pairwise method of deleting the missing data, be sure to examine the distribution of missing data across the cells of the matrix for possible systematic "patterns. If the pairwise deletion of missing data does not introduce any systematic bias to the correlation matrix, then all those pairwise descriptive statistics for one variable should be very similar. However, if they differ, then there are good reasons to suspect a bias.
For example, if the mean (or standard deviation) of the values of variable A that were taken into account in calculating its correlation with variable B is much lower than the mean (or standard deviation) of those values of variable A that were used in calculating its correlation with variable C, then we would have good reason to suspect that those two correlations (A-B and A-C) are based on different subsets of data, and thus, that there is a bias in the correlation matrix caused by a non-random distribution of missing data.
Pairwise Deletion of Missing Data vs. Another common method to avoid loosing data due to casewise deletion is the so-called mean substitution of missing data (replacing all missing data in a variable by the mean of that variable). Mean substitution offers some advantages and some disadvantages as compared to pairwise deletion.
Its main advantage is that it produces "internally consistent" sets of results ("true" correlation matrices). The main disadvantages are:Spurious Correlations. There is a third variable (the initial size of the fire) that influences both the amount of losses and the number of firemen. If you "control" for this variable (e. The main problem with spurious correlations is that we typically do not know what the "hidden" agent is.
However, in cases when we know where to look, we can use partial correlations that control for (partial out) the influence of specified variables. Are correlation coefficients "additive.Punch and die set design
For example, an average of correlation coefficients in a number of samples does not represent an "average correlation" in all those samples. In cases when you need to average correlations, they first have to be converted into additive measures. For example, before averaging, you can square them to obtain coefficients of determination, which are additive (as explained before in this section), or convert them into so-called Fisher z values, which are also additive.
How to Determine Whether Two Correlation Coefficients are Significant. A test is available that will evaluate the significance of differences between two correlation coefficients in two samples.
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