Let get right to the issue. iOS safari does re-size the view until navigation bar gets to It’s minimal height. Hence does not scrolling at start of scroll gesture. And it does not trigger onresize event while re-sizing to get navigation bar smaller.
This is clearly an issue. I propose two solution for it. Continue reading Mobile Safari start scrolling display issue
Elements are not always fully appearing. While scrolling i see render issue (not rendering part of the element) until scroll ends. Continue reading Mobile Safari full screen and fixed position elements display issue!!
Embed program data within executable. Text files as c string and binary files as c array.
file2var is easy to use program to do just that. Continue reading Put your data into variables with file2var
I’ve written a Matlab function, which calculates the Cronbach’s alpha between some items and do the if item is deleted process. this function will automatically delete the item which increase the Cronbach’s alpha maximally. before entering in if item is deleted process it checks the initial Cronbach’s alpha. if the Cronbach’s alpha value was greater than 0.8. then the function will return a message that there is an excellent reliability and no item is required to be deleted. Continue reading Reliability analysis using Cronbach’s alpha
I’ve written a code in Visual basic (excel macro), to do Monte Carlo repetitions to find the value at risk. for this reason, I’ve used Cornish-fisher expansion.
The formula for Value at risk, uses volatility, skewness and excess kurtosis and the number of trading periods in the recommended holding period to find the value at risk.
In this project, I wrote a matlab code to keep a marker which moves randomly toward a square area, inside the boundary. so the marker moves with a specific speed in a random direction. when the marker reaches to the boundary of the square area, it will first bounce back and then will keep moving to the another random direction. the number of movement and speed of the marker could be chosen by the user.
Exponential smoothing method for finding the trend and seasonality of the data and doing forecast. simple exponential smoothing is for the data which doesn’t have seasonality. for data which has seasonality exponential smoothing has three formula as we could see in the figure below:
at is level, bt is the trend and Ft is seasonality. alpha, beta and gamma are the damping ratio in appropriate with level, trend and seasonality respectively.
In the video below you can see a tutorial for doing two way analysis of variance on balanced data using matlab. the data are stored in a text file in tab delimited order. Continue reading Two way analysis of variance tutorial
A company decided to do to statistical analysis to find a model for the revenue gained by their employees. in the passed years and find a model to do forecast for the next year.