distribution

问题 I have developed 3 iPad single window applications and my apps were rejected in app store because they belong to an organization. I have been searching solutions for publishing these apps in app store without distributing them through ad-hoc distribution. I came across some solutions like enterprise app development and having a username and password for the app. I decided go with the second option and I am unable to find any solution on how to set up username and password for this single

问题 I know about the parameter log="xy" , but I don't know whether you can control the base of the logarithmic scale (my guess is that 10 may be the default (?)), and I'm not getting lucky on the specific issue below... How can I reproduce the following plot (from this source) with R. In particular, I am having problems with the log base 10 x and y axes. Leaving aside the power law red line, I was playing with x = rlnorm(1e4,0,10) h = hist(x, prob=T, plot=F) plot(h$count, log="xy", type="l", lend

问题 I'm trying to use NORMDIST function in Excel to create a bell curve, but the output is strange. My mean is 0,0000583 and standard deviation is 0,0100323 so when I plug this to the function NORMDIST(0,0000583; 0,0000583; 0,0100323; FALSE) I expect to get something close to 0,5 as I'm using the same value as the mean probability of this value should be 50% , but the function gives an output of 39,77 which is clearly not correct. Why is it like this? 回答1: A probability cannot have values greater

问题 I am trying to find two-tailed inverse of the X's t-distribution. It can be find using TINV function in Excel but I need this to achieve in SQL Sever. Please suggest me idea. The TINV function syntax has the following arguments: Probability : The probability associated with the two-tailed Student's t-distribution. Deg_freedom : The number of degrees of freedom with which to characterize the distribution. Ex: select tinv( 0.054645, 60); -- ----------------- -- 1.9599994129833 -- (1 row

问题 I have an R plot in which I want to show that IF the " red " curve (which is now at the bottom of plot not showing correctly) be multiplied by a constant , it can match the " blue " curve currently showing. I'm wondering how best I can scale up the "red" curve so that it exactly matches the "blue" curve? (My R code is provided below the picture.) Here is my R code: SIGMA = 2 # Population SIGMA known observations = seq(1, 30) # observations drawn n = length(observations) # number of

问题 I need a C function to calculate Poisson distribution for values of k up to 720. I need a highly efficient solution. 回答1: give a to try GSL: gsl_ran_poisson_pdf 回答2: Poisson Random Generator int poissonRandom(double expectedValue) { int n = 0; //counter of iteration double limit; double x; //pseudo random number limit = exp(-expectedValue); x = rand() / INT_MAX; while (x > limit) { n++; x *= rand() / INT_MAX; } return n; } I guess I'm pretty late for your urgent demand. 回答3: If you want to

问题 It took me 2 days (and a lot of head/wall pounding) to finally discover that the reason ad-hoc distribution wasn't working for me was because my app-name had UTF-8 characters. I'm still boggling over how such a widely international platform like the Apple iPhone can prohibit this. i.e. , if my app were a Chinese game of Go, am I not allowed to call it "Go! (圍棋)"?! Anyway, I'm wondering... Is this an actual limitation, or a bug in the ad-hoc process? Are there other restrictions on app-name

问题 I'm trying to make a function that will fill a list with random numbers, and based on the type of the list items it should generate either integer or floating point numbers. So far I've come up with the following code, and it works: template <typename T> void generateRandom(list<T>& numberList){ default_random_engine randomGenerator(random_device{}()); if( typeid(T) == typeid(int) ){ uniform_int_distribution<T> distribution(1000, 2000); auto myGenerator = bind(distribution, randomGenerator);

问题 I'm using ASP.net with C# and have a very little idea about Active Directory. I've been given a task to write a program in steps below: The ASP.net application is given the username of a user. The application should query all the groups of the user with the given username. Then the application should display these groups in two separate lists one consisting of the distribution groups and in other list, the rest of the groups. Now, the querying for all the groups is easy. But how can I check

问题 I have a XY grid with some gridpoints having certain values assigned to them, in this case, each value means a certain mass, so basically point masses in a grid. I now want to obtain a set of points which follow a density distribution of 1/R, where R is the distance from the center, so R = sqrt(x^2 + y^2). By density distribution, I mean the number of points has to fall off as 1/R. How would I go about coding this? My code is below: import numpy as np x = np.linspace(-50,50,100) y = np