distribution

问题 I have a table (Salaries) with salaries distributed on gender and job titel. I want to show the results on gender for every job titel I have in my database plus the total value. For example for the first titel I have this code: select 'Female' as '____', count(gender) as Number, SUM(Salary) AS Total_Salary, MIN(salary) AS Min_salary, AVG(salary) AS Avg_Salary, MAX(salary) AS Max_Salary from Salaries where gender= 'Female' And Job_titel='Adm assistent' union ( select 'Man' as '____', count

问题 Version 3 Moved generator into a class. Is my new random number generation technique correct this time? template<typename T = int> class MyRandomGenerator { public: MyRandomGenerator() { std::random_device rd; gen = std::mt19937{rd()}; } T getNumber(const T& From, const T& To) { std::uniform_int_distribution<T> dist(From, To); return dist(gen); } private: std::mt19937 gen; }; And here my new position calculators: auto calculate_x_position = [&]() ->sf::Uint32 {return RandGen.getNumber(0, W -

问题 I'm using R to create a function, that amongst others uses Mills Ratio (See here). This is not a complicated formula, and at first I just programmed it like this: mill <- function(x) { return((1 - pnorm(x)) / dnorm(x)) } I soon found out however, that for very large values (x >= 9) of x , this function returns zero. Even more dramatic, at around x >= 37, it starts returning NaN , which really messes up my stuff. Following the article, for now I've changed the function into this: mill <-

问题 Please excuse the terminology if it's wrong. The use case is simple. There is only one team agent who can release an app to the general public. How can we let team admins have the same permission? I can't find the pic for the life of me, but there was a comparison chart in the Apple Provision Profile that indicated that the only "powers" that a team agent had over a team admin was being the point of legal contact. So I got the idea that team admins can in fact distribute an app? I'm not sure

问题 Has anyone had problems with the Weibull distribution using the ExtDist Package? From the documentation: Parameter Estimation for a distribution with unknown shape parameters Example from: Rinne (2009) Dataset p.338 and example pp.418-419 Parameter estimates are given as shape = 99.2079 and scale = 2.5957. The log-likelihood for this data and Rinne's parameter estimates is -1163.278. data <- c(35,38,42,56,58,61,63,76,81,83,86,90,99,104,113,114,117,119,141,183) est.par <- eWeibull(X=data,

问题 I have 4 variables x1,x2 y1,y2 (365 values for each variable). I want to plot the 2d kernel density with specific contour levels. I need to overlay the density plots (x1 vs y1) and (x2 vs y2). x1 <- c(772.522, 1806.75, 2388.73, 2619.04, 2695.6, 2747.14, 2772.58, 2773.86, 2812.93, 3338.98, 3299.18, 3269.85, 3179.74, 3185.36, 3274.99, 3391.08, 3541.91, 3563.56, 3551.63, 3626.92, 3602.07, 3535.31, 3482.09, 3567.54, 3502.1, 3440.78, 3437.95, 3722.05, 3702.45, 3636.89, 3565.1, 3485.51, 3398.42,

问题 Following this question : Random distribution of items in list up to a maximum count I have a List of items containing x items. I want to distribute these items randomly in other Lists with the conditions : Each List has a maximum size of y item (with y = 4) Each Item must be used exactly z times (with z = 5) Each Item must only appear once in a particular List If x isn't divisible by both y and z, it's okay to have Lists containing less than y items. I'm looking for a Java (from 1.6 to 1.8)

问题 I've just set up our iPhone / iPad Universal app to support Enterprise Distribution. I've hosted the provisioning profile, the plist file, and the application itself (the IPA file) on our private servers. Users can go to Safari on their device and download the provisioning profile and it installs itself just fine. They can also view the plist file (we used this to test connectivity, etc). However, no matter what we try the application file itself will not download. We navigate to our 'get'

问题 For reproducibility reasons, the dataset and for reproducibility reasons, I am sharing it here. Here is what I am doing - from column 2, I am reading the current row and compare it with the value of the previous row. If it is greater, I keep comparing. If the current value is smaller than the previous row's value, I want to divide the current value (smaller) by the previous value (larger). Accordingly, the following code: import numpy as np import scipy.stats import matplotlib.pyplot as plt

问题 I've written a pretty simple Windows Form Application that calls an unmanaged DLL to perform most of the actual calculations done by the program. The program runs fine in Debug and Release modes. It also installs correctly and runs on the development computer. The problem arises when I attempt to install it on target computer (running the same operating system: 64bit Windows 7). Despite the DLL being in the same directory as the .exe file, I'm getting a "DLL Not Found Exception". I'm getting