Contact experts in Statistical Modeling to get answers
1,308 views 362 posts
Questions related to Statistical Modeling
I am studying the role of a specific type of smokeless tobacco in the development of oral cancer, for my doctoral project, so originally we calculated a sample based on the exposure to this...
11 November 2014 1,764 5 View
Hi Is the non-normally distributed data appropriate in MLP-based regression? I know that normal distrubution of variables is one of the assumption of the linear multivariate regression (LMR)...
11 November 2014 6,657 3 View
If I use the actual frequency for a ramp signal to calculate phase, I get the correct phase. But if I use the estimated frequency (which has fluctuations) for phase calculation, I get phase...
11 November 2014 8,205 1 View
I want to update the standard deviation of the future data to already calculated standard deviation of existing data using statistical modelling. This should work as per the behavior of deviation...
11 November 2014 2,447 2 View
I am essentially talking about fitting a model with three independent variables. We have the data from a biological experiment where the response is showing a sigmoid fashion, thus prohibiting...
11 November 2014 7,937 3 View
Hi. When odds ratio from logistic regression have large confidence interval for data from cross-sectional study, it is suggested to use Cox Proportion Hazard Regression Models with constant time...
18 October 2014 2,703 5 View
I have been working on surface water quality physico chemical characteristics for years. I have been collecting data and use some water quality indexes to classify these water sources. I'd just...
10 October 2014 6,485 5 View
Does "Coefficient of Determination (R-Square)" provides sufficient information on how will the data fits a statistical model (line/curve) in case of non-linear regression ? I would like to know...
10 October 2014 5,282 28 View
It does not make sense to create dummy var for a var like month, where value of dec (12) can give wrong implication and distorted distribution; but for var like risk ( low, med, high, very high),...
10 October 2014 9,485 12 View
10 October 2014 4,400 6 View
GMM package in r minimize the conditional score equations for real variables.
10 October 2014 5,294 1 View
The model is y_i = x_i'*beta + n_i'*f+epsilon_i, where beta is the parametric coefficient regression of vaiables X1,..., Xp; f is the functional form of the nonparametric curve (an spline); and...
10 October 2014 9,015 2 View
03 October 2014 155 3 View
I am using Power Transformation method (Leander et al., 2007) (Terink et al., 2009) for bias correction of GCM data. I have some doubts regarding this method. 1. Do I have to calculate parameter...
09 September 2014 7,167 0 View
There are 10 different item in the system that needed to be repaired. Each item has its repairing price, and each item has its impact to the system (rather I say here, consequences) if one or more...
09 September 2014 4,804 14 View
I need the best way to detect the outliers from Data, I have tried using BoxPlot, Depth Based approach. But as my data produces the multivariate density plots it sometimes gives correct outliers...
09 September 2014 2,976 11 View
I am implementing statistical models for my project having very large data with me. I have used R language for implementing this and now i want to use machine learning model on it. But it creates...
09 September 2014 3,139 21 View
I am working in the area of electronic waste. E-waste was ground to fine sizes. The cumulative mass distribution in different sizes is represented by Rosin-Rammler model. Similarly, the...
09 September 2014 8,834 2 View
We are looking at conducting a study to measure the impact of private loan on GDP growth in Cambodia, using yearly time series data covering a rage of 16 years (we have data only about this...
09 September 2014 2,138 9 View
We are measuring relationship between an foreign aid (Official Development Assistance - ODA) and economic growth (GDP growth) to see if ODA has any impact (long run or short run) in a developing...
09 September 2014 9,984 8 View
assume that 100 samples with Gaussian distribution. After fitting the model, mean and variance estimated as parameters of the distribusion. Then what is statistics for this dataset? What is the...
29 August 2014 4,233 9 View
Mixed use development needs to determine proportion for each building uses such as residential, offices and shopping.
15 August 2014 5,484 3 View
Many indicators are used to evaluate topic modeling results (Log-Likelihood, AIC, perplexity) but in my experience (using r topicmodels) results don't converge. What can be the explanation? Which...
08 August 2014 3,432 7 View
Is it possible to transform a bimodal variable into normal or other 'more friendly' distribution variables? If not, what statistical analysis can be done for a bimodal dependent variable to...
08 August 2014 896 6 View