# Data stata mincer regression jobs

I have a particular **data** set and I want to analyse it using Ridge **Regression** in SAS statistical software. I would like some interpretation of the important outcomes and some conclusions.

I have a **data** series in **Stata** that I want to check for any bias.

I have a **stata** dta file and want to process it to find **regression**. More details to be provided.

...WebDriverIO bindings. The tests will be used to create an automated **regression** test library of end to end tests for a javascript (React/Redux) application.
A list of the tests to be written has been attached. Please review before submitting any bids.
-Tests must load any relevant **data** e.g. book id or user input from JSON.
-Tests must be written in

Our...choose the best model, and then to test the assumptions and run the model, reporting on the results in somewhat plain language. You must be experienced at running multiple **regression** analyses, excellent in communicating in English and have some experience with medical statistics. We need turnaround in the next couple days if possible. Thank you!

Our business is analyzing some **data** we have collected in the biomedical field. We need to analyze it and need someone who can run **regression** analysis. When you respond, please describe your background in statistic analyses.

...important role in many applications, e.g, document retrieval, web search, spam filtering. At the heart of these applications is machine learning algorithms such as logistic **regression** or Kmeans. These algorithms typically require the text input to be represented as a fixed-length vector. Perhaps the most common fixed-length vector representation for texts

I created and fitted a Linear **Regression** Model
And I calculated the Training error and Testing error using sklearn with a .50 split
I want you to :
1) vary the split size from .01 to .99 with at least 10 values (the more the merrier!). Plot the resulting Training error and Testing error vs. split size. Create separate plots for Linear and Ridge

build a predictive model based on probability distributions
analyse **data** set of the **data** from within Python
build **regression** model and evaluate it

I need a statistician who wants to work analyzing research **data** and writing reports based on the analysis results under my supervision. This person needs to use **Stata** for the analysis. I have a database (26 variables, 103 subjects) that I want to analyze following the attached article methodology

Hi, I am overloaded with work now, and I would need help with some Econometric exercises. Is about **regression** discontinuity: mainly **STATA** exercises and easy statistical proofs. And I have already developed the **STATA** part. I need it quiet urgently, as soon as possible. Do you have time for this?

Hi, I am overlo...I am overloaded with work now, and I would need help with my Econometrics assignment. Is about **regression** discontinuity: mainly **STATA** exercises and easy statistical proofs. In general is an easy and short assignment, and I have already developed the **STATA** part. I need it quiet urgently, as soon as possible. Do you have time for this?

Hi, I am overloaded with work now, and I would need help with my Econometrics assignment. Is about **regression** discontinuity: mainly **STATA** exercises and easy statistical proofs. In general is an easy and short assignment. I would need it for tomorrow at 11h, so I need it quiet urgently. Do you have time for this?

Hi, I am overloaded with work now, and I would need help with my Econometrics assignment. Is about **regression** discontinuity: mainly **STATA** exercises and easy statistical proofs. In general is an easy and short assignment. I would need it for tomorrow at 11h, so I need it quiet urgently. Do you have time for this?

answer questions by using **stata**, and finish it by 2/19 9am

Looking for an experienced **data** scientist who should help me finishing a project which I have done almost 80%. What I have done is trained a logistic **regression** and SVM classifiers for an unstructured (source code) corpus.
1. However, some labellings are incorrect and need to be corrected (I'll tell how).
2. Another part is to create natural language

...exercise with three simple tasks:
In the exercise, we will analyze experimental **data** using mixed-model methodology.
The exercise has three main parts:
1. Analyze the **data** according to the mixed models methodology.
2. Re-analyze the **data** using naive linear **regression** and comparing the results.
3. Use parametric bootstrap to approximate the bias and

...Machine Learning. You have the three-dimensional distance between 2 electrical charges, a vector with shape (3), and the force, a vector of shape (3). You collect the force **data** on many different three-dimensional distances. You get a dataset of shape (Nsample, 3) -> (Nsample, 3). You use straightforward multi-layer perceptron to fit this dataset and