statsmodels Questions
3
am trying to run logit regression for german credit data (www4.stat.ncsu.edu/~boos/var.select/german.credit.html). To test the code, I have used only numerical variables and tried regressing it wit...
Daphie asked 20/12, 2013 at 12:32
7
Solved
I do this linear regression with StatsModels:
import numpy as np
import statsmodels.api as sm
from statsmodels.sandbox.regression.predstd import wls_prediction_std
n = 100
x = np.linspace(0, 10,...
Solidus asked 9/7, 2013 at 22:32
3
I have the following R Code, wondering what is the equivalent code in Python
power.t.test(n=20,delta=40,sd=50,sig.level=0.05,type= "one.sample",alternative="one.sided")
The ex...
Bufordbug asked 7/1, 2019 at 1:54
3
when using the .summary() function using pandas statsmodels, the OLS Regression Results include the following fields.
coef std err t P>|t| [0.025 0.975]
How can I get the standardised coeffic...
Asbestosis asked 13/6, 2018 at 16:47
3
I'm new to Granger Causality and would appreciate any advice on understanding/interpreting the results of the python statsmodels output. I've constructed two data sets (sine functions shifted in ti...
Thurber asked 9/8, 2018 at 17:4
7
Solved
numpy.average() has a weights option, but numpy.std() does not. Does anyone have suggestions for a workaround?
Belgravia asked 9/3, 2010 at 23:53
3
How to generate "lower" and "upper" predictions, not just "yhat"?
import statsmodels
from statsmodels.tsa.arima.model import ARIMA
assert statsmodels.__version__ == '...
Scream asked 9/10, 2020 at 10:5
4
In scipy there is no support for fitting a negative binomial distribution using data
(maybe due to the fact that the negative binomial in scipy is only discrete).
For a normal distribution I would...
Serriform asked 22/5, 2014 at 20:31
5
Solved
(Sorry to ask but http://statsmodels.sourceforge.net/ is currently down and I can't access the docs)
I'm doing a linear regression using statsmodels, basically:
import statsmodels.api as sm
model...
Shoshone asked 20/7, 2015 at 18:38
2
Solved
I am using Statsmodels to implement seasonal ARIMA prediction for time series. Here is my code :
import statsmodels.api as sm
from statsmodels.tsa.x13 import x13_arima_select_order, _find_x12
impo...
Transom asked 17/8, 2015 at 15:5
9
Solved
I am doing multiple linear regression with statsmodels.formula.api (ver 0.9.0) on Windows 10. After fitting the model and getting the summary with following lines i get summary in summary object fo...
Saturninasaturnine asked 7/8, 2018 at 19:33
7
I am getting above error when I am running an iteration using FOR loop to build multiple models. First two models having similar data sets build fine. While building third model I am getting this e...
Procathedral asked 10/5, 2016 at 17:12
1
Solved
I have a df that is 700 rows x 2 columns, below a code to reproduce a smaller version of it (with 7 rows).
df = pd.DataFrame(columns=['Private','Elite'])
df[''] = ['Abilene Christian University', '...
Anzio asked 16/8, 2022 at 11:16
3
Solved
When running a logistic regression, the coefficients I get using statsmodels are correct (verified them with some course material). However, I am unable to get the same coefficients with sklearn. I...
Starling asked 19/5, 2018 at 19:37
2
scipy.stats.linregress returns a p-value corresponding to the slope, but no p-value for the intercept. Consider the following example from the docs:
>>> from scipy import stats
>>>...
Yuk asked 26/2, 2015 at 21:54
5
Solved
result = sm.OLS(gold_lookback, silver_lookback ).fit()
After I get the result, how can I get the coefficient and the constant?
In other words, if
y = ax + c
how to get the values a and c?
Totem asked 20/11, 2017 at 9:1
1
Solved
When we talk about PCA we say that we use it to reduce the dimensionality of the data. I have 2-d data, and using PCA reduced the dimensionality to 1-d.
Now,
The first component will be in such a w...
Selfaddressed asked 15/6, 2022 at 11:50
4
While using ARMA to fit a model:
from statsmodels.tsa.arima_model import ARMA
I am getting a warning in my console:
C:\Users\lfc\anaconda3\lib\site-packages\statsmodels\tsa\arima_model.py:472: Fut...
Orenorenburg asked 19/5, 2021 at 10:9
1
Solved
I am currently trying to import MSTL from statsmodels.tsa.seasonal the module of MSTL (https://www.statsmodels.org/devel/generated/statsmodels.tsa.seasonal.MSTL.html) but it returns an ImportError....
Meander asked 26/5, 2022 at 16:27
2
Solved
I am trying to predict a seasonal time series using SARIMAX. The time series consits of daily maximum values for PV-feed-in, which leads to the assumption of a 365 day periodicity.
Here is my code...
Unhandled asked 9/3, 2017 at 17:41
4
Solved
I have a time series that appears to have a significant lag when observing the partial autocorrelation (PACF) plot, i.e. PACF value is greater than the blue confidence interval. I wanted to verify ...
Spotter asked 17/5, 2020 at 16:49
1
Solved
I'm exploring ridge regression. While comparing statsmodels and sklearn, I found that the two libraries result in different output for ridge regression. Below is an simple example of the difference...
Soane asked 16/5, 2022 at 14:25
6
Solved
Here is what I am doing:
$ python
Python 2.7.6 (v2.7.6:3a1db0d2747e, Nov 10 2013, 00:42:54)
[GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin
>>> import statsmodels.api as sm
>>...
Eurypterid asked 20/12, 2013 at 10:27
3
Solved
I want to use statsmodels OLS class to create a multiple regression model. Consider the following dataset:
import statsmodels.api as sm
import pandas as pd
import numpy as np
dict = {'industry': ...
Diallage asked 18/4, 2019 at 1:45
3
The OLSResults of
df2 = pd.read_csv("MultipleRegression.csv")
X = df2[['Distance', 'CarrierNum', 'Day', 'DayOfBooking']]
Y = df2['Price']
X = add_constant(X)
fit = sm.OLS(Y, X).fit()
print(fit.sum...
Concessionaire asked 10/12, 2016 at 11:38
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