EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 600+ Courses All in One Bundle
  • Login
Home Software Development Software Development Tutorials Software Development Basics Statsmodels API
Secondary Sidebar
Software Development Basics
  • Basics
    • Microsoft Expression Web
    • IDE
    • Microsoft Flow
    • Unity Dashboard
    • Servlet Dispatcher
    • Types of Algorithms
    • Vue.js? nextTick
    • Vue.js Transition
    • Page Replacement Algorithms
    • What is CLI
    • Open Source Software
    • Solve Problems With Technology (Simple)
    • What is Application Software & Types
    • Microsoft Word Alternative
    • ADDIE Model
    • V-model advantages and disadvantages
    • Gatsby Plugins
    • Putty version
    • Xampp versions
    • Avro converter
    • Avro Data Types
    • Avro Schema Evolution
    • Avro Serialization
    • Cloudera Impala
    • Cloudera Careers
    • Entity Framework Core
    • Gulp File Include
    • Gulp Autoprefixer
    • Gulp File
    • Gulp Terser
    • System Software Tools
    • System Software Components
    • Typography App
    • Software as a Service (Saas)
    • Icon Font Pack
    • Interpret Results Using ANOVA Test
    • Blogging Insights Your Analytics
    • Increase Productivity Technology
    • Free Multimedia Software
    • Information Technology Benefits
    • What is SPSS and How Does It Work
    • Learn to Code For Beginners (Advance)
    • Uses of Coding
    • Uses Of Raspberry Pi
    • What Is System Design
    • Introduction to NLP
    • What is MapReduce
    • What is SoapUI
    • What is MVC
    • What is Multithreading
    • What is Neural Networks
    • What is Swift
    • What is PLC
    • What is Open Cart
    • What is Mainframe
    • What is JMS
    • What is Cognos
    • What is Open Source
    • What is Bot
    • What is SOAP
    • What is COBOL
    • What is GraphQL
    • What is Microcontroller
    • What is Open-Source License
    • What is Visual Studio Code
    • What is Pandas
    • What is Hypervisor
    • What is Common Gateway Interface
    • What is IDE?
    • What is MVC Design Pattern
    • What is Application Server
    • What is GPS
    • What is Botnet
    • What is Assembly Language
    • System Analysis And Design
    • HTTP Caching
    • What is Buffer Overflow
    • What is Ajax
    • What is Appium
    • What is SVN
    • What is SPSS
    • What is WCF
    • What is Groovy
    • What is Clickbait
    • What is SOA
    • What is GUI
    • What is FreeBSD
    • What is WebSocket
    • What is WordPress
    • What is OSPF
    • What is Coding
    • What is Raspberry Pi
    • HTTP Cookies
    • What is Hub?
    • What is Bridge
    • What is Switch
    • What is Internet Application
    • What is Sensors
    • What is Proximity Sensors
    • What is Full Stack
    • System Design Interview Questions
    • What is Salesforce technology
    • What is Salesforce Sales Cloud
    • What is OOP
    • What is CMD
    • What is React
    • React Redux Typescript
    • What is DSS
    • What is SVG
    • SVG File
    • Bash Sleep Command
    • What is MTU
    • What is Apex
    • What is Desktop Software
    • Tor Browser, Anonymity and Other Browsers
    • Avoid Pitfalls of Shadow IT
    • Freelance Web Graphic Designer
    • What is Storage Virtualization
    • What is Web Services?
    • What is Social Networking?
    • What is Microservices Architecture?
    • Microservices Tools
    • Advantages of Microservices
    • Uses of Internet
    • Software Platforms
    • Uses of Internet for Business
    • Architecture of Web Services
    • Web Application Testing
    • Advantages of Web Service
    • CPU Virtualization
    • Types of Web Services
    • Web Services Testing
    • What is RabbitMQ?
    • RabbitMQ Architecture
    • Advantages of Bitcoin
    • LINQ foreach
    • Penetration Testing Services
    • Puppet Alternatives
    • What is Memcached?
    • What is Browser?
    • Types of Satellites
    • Model Driven Architecture
    • Types of Variables in Statistics
    • Best Statistics Certifications
    • Integration Architecture
    • What is API Integration?
    • What is Grid Computing?
    • Asus File Manager
    • What is GPRS?
    • What is Gradle?
    • What is Basecamp?
    • Software System Architecture
    • GSM Architecture
    • What is Nagios?
    • AppDynamics Tool
    • Logical Architecture
    • What is Microsoft Planner
    • What is Circuit Switching
    • What is ARM?
    • Embedded Control Systems
    • Embedded System Programming
    • Embedded System Development
    • Embedded Systems Software
    • Embedded System Project
    • Types of Embedded Systems
    • Requirement Engineering
    • Types of Engineering
    • What is WAP
    • What is Registry?
    • What is Dynatrace?
    • What is Digital Forensics?
    • Hardware Virtualization
    • AppDynamics Careers
    • Bandwidth Monitoring Tools
    • Ping Monitor Tools
    • Dynatrace Tools
    • What is Trello?
    • What is AppDynamics?
    • What is Remote Desktop?
    • What is Extranet?
    • What is LTE Network?
    • What is Firebase?
    • Website Monitoring Tool
    • Number Systems
    • Service Desk Manager
    • Static Website
    • Dynamic Website
    • What is Email?
    • What is URL Link?
    • What is Program?
    • What is Lock Screen?
    • What is Grafana
    • Unguided Media Transmission
    • IT Governance
    • IT Governance Framework
    • Remote Support Softwares
    • What is Unification?
    • Topological Map
    • What is LAMP?
    • USB Flash Drive
    • Software Development Models
    • Digital Circuit
    • What is Webpack?
    • Fault Tolerance
    • What is DSL Modem?
    • What is Mozilla Firefox?
    • What is Vagrant?
    • Types of Research Methodology
    • Grafana Plugins
    • Ionic Components
    • Nginx Error_page
    • Nginx Include
    • Nginx Version
    • Nginx Force HTTPS
    • Nginx Environment Variables
    • Nginx Container
    • RabbitMQ Routing Key
    • CakePHP
    • Telegram Features
    • What is CDN
    • RethinkDB
    • Symfony Version
    • UWP
    • cPanel version
    • What is assembly?
    • Seed7
    • Switching Techniques
    • OCaml
    • Pseudocode?Algorithm
    • Quality Control Methods
    • What is OneNote?
    • Workstation Uses
    • Soft Computing Techniques
    • Remote Access Software
    • Remote Desktop Tools
    • OneNote Shortcuts
    • Software Review
    • What is Qubit?
    • Static Analysis Tools
    • Register in Microprocessor
    • What is VDI?
    • What is Svelte?
    • RabbitMQ Version
    • Groovy Version
    • Code Walkthrough
    • What is Telegram?
    • Gradle Version
    • What is Recycle Bin?
    • What is Cordova?
    • Swagger version
    • Doxygen
    • Phalcon
    • Metasploit Framework
    • Microsoft Word Shortcut Keys
    • Wordpad shortcut keys
    • Burp Suite
    • Google Docs Shortcuts
    • Install VPN
    • Frontend Challenges
    • CodeIgniter Version
    • VMware Tools
    • CDMA Advantages
    • CDMA Uses
    • Servlet Session Management
    • ServletConfig
    • Servlet Class
    • Log4j Version
    • Remote Desktop Softwares
    • Soapui Load Test
    • Scikit Learn Version
    • VMware Benefits
    • Google Slides Shortcuts
    • What is XAMPP?
    • What is PyGTK?
    • VMware Fusion
    • What is cPanel?
    • Ubuntu Version
    • Server Types
    • App Analytics Tools
    • DNS Types
    • Evernote Features
    • Restful architecture
    • GNOME Keyboard Shortcuts
    • AngelScript
    • NativeScript Layouts
    • PowerPoint Version
    • setInterval Function
    • Shopify Apps
    • TypeScript foreach loop
    • Socio Technical System
    • PowerPoint Shortcut Keys
    • Civil Engineering Tools
    • OpenLayers vs Leaflet
    • Circuit Switching Advantages and Disadvantages
    • LotusScript
    • Multiplexer
    • Multiple Access Protocol
    • Types of Broadband
    • What is Standardization
    • Methods of Development
    • Software Requirement Specification
    • CentOS restart network
    • Bouncy numbers
    • Burp suite proxy
    • Redshift window functions
    • Mesh Topology Advantages and Disadvantages
    • What is Zabbix?
    • Test Techniques
    • Test Development
    • What is PyCharm
    • What is REST
    • JDBC version
    • System software features
    • Ableton versions
    • Unreal engine version
    • RAD advantage disadvantage
    • Incremental Model Advantage and Disadvantage
    • Disadvantages of Internet
    • What is VoIP
    • WAP Architecture
    • CentOS unzip
    • Cubase Shortcuts
    • Cubase Versions
    • Libreoffice shortcut keys
    • Archiving Software
    • Layered Architecture
    • Coverage Types
    • What is Kivy?
    • Types of Methodology
    • Swift JSON
    • JSON Serialize
    • TypeScript?boolean
    • TypeScript keyof object
    • TypeScript RegEx
    • TypeScript?date
    • TypeScript object
    • CentOS Version
    • XSLT if else
    • Binary Search JavaScript
    • Binary search with recursion
    • PLSQL Replace
    • Evernote Notes
    • Rust vs Python
    • Test Scenario
    • Deadlock in Operating System
    • MVVM Architecture
    • MVVM Flutter
    • What is Keyboard
    • WordPress Hosting
    • Software requirement
    • CentOS Add User to Group
    • Backup Types
    • Firewall Rules
    • Microprocessor Features
    • Maven Versions
    • OneNote features
    • Binary search tree insertion
    • Quick sort algorithm
    • B+ tree insertion
    • What is Automation?
    • What is Digital Electronics?
    • Wireless Transmission Media
    • Border Gateway Protocol
    • Email Encryption Software
    • Endpoint Encryption
    • Outlook Alternative
    • What is Abacus
    • Encapsulation Benefits
    • FL Studio Keyboard Shortcuts
    • NordVPN Features
    • Statsmodels API
    • Statsmodels Linear Regression
    • Buzz number
    • Krishnamurthy Number
    • What is Compact Disc?
    • Bucket Sort Algorithm
    • Insertion Sort Algorithm
    • Redis Version
    • Chatbot Benefits
    • Full Stack Technologies
    • Civil Engineering Types
    • Tomcat Web Server
    • Tomcat Native
    • Tkinter Scrolledtext
    • Anaconda Navigator
    • UML Class Diagram
    • System Monitoring Tool
    • Drupal Features
    • Drupal Free Themes
    • Drupal Modules
    • Drupal 9
    • Drupal Developer
    • Drupal Webform
    • Drupal 8
    • Drupal 8 Themes
    • Drupal Views
    • System Software Functions
    • What is Linker?
    • What is K Map?
    • Website Testing Tool
    • TypeScript map
    • TypeScript enum
    • TypeScript class
    • Hill Climbing Algorithm
    • Hashmap and Hashtable
    • Nexus Plugin
    • Entity Framework Delete by ID
    • What is NumPy?
    • What is NLP?
    • Vishing Attack
    • Test Plan in Software Testing
    • Guest Mode
    • What is Mockito?
    • Advantage of the Internet
    • SVG Creator
    • Rails Logger
    • Intellij Plugins
    • Intellij Shortcuts
    • IntelliJ Maven
    • IntelliJ JavaFX
    • IntelliJ Lombok Plugin
    • IntelliJ Format Code
    • IntelliJ gitignore
    • IntelliJ Find and Replace
    • RESTEasy

Related Courses

Software Testing Training

Selenium Training Certification

Appium Training

JMeter Certification Training

Statsmodels API

Statsmodels API

Introduction to Statsmodels API

statsmodels API are the models that are called by using Application Programming Interface also called as APIs. There are various categories into which the statsmodel APIs can be classified that we will have a look at in this session. Along with that, we will also get a general overview of statsmodels API, regression, linear models, count models, TSA.API, formula.API and tome series models.

Overview of Statsmodels API

The most crucial statsmodels API are categorized into the following models –

  • Statsmodels.TSA.API – This involves the methods and models that are related to the time series and can be imported canonically by using the statement “import statsmodel.TSA.API as educba_tsa”.
  • Statsmodels.API – These are the methods and models involving the cross-sectional details and can be imported in our program canonically by simply adding the package using “import statsmodels.API as educba_sm”.
  • Statsmodels.formula.API – This is the interface that conveniently provides us the facility to specify different models by using the data frames and the formula strings. The API that is most supported by the formula API is directly exposed by a method named from_formula method of class which can be imported in our program canonically by using the statement “import statsmodel.formula.API as educba_smf”.

The use of the API is mainly focused on various models and along with that, they are used for implementing the statistical tools and the tests. The structure and the paths of import help us to understand and define the design of the two API models. Along with that they also help us to understand the difference between importing the functionalities from the API if statsmodels and direct import the functionality from the module where its definition resides.

Statsmodels API Regression

Let us have a look at some of the functionalities of the statsmodel api regression. The below table explains us the names and the arguments related to the methods available for regression and also the definition or long form of the same which is quite self-explanatory.

Start Your Free Software Development Course

Web development, programming languages, Software testing & others

Method

Long Form

RecursiveLS (endog, exog [, conditions or constraints]) RecursiveLS stands for Recursive Least Square
RollingOLS ( endog, exog[, min_nobs, windows, …]) RollingOLS means that Rolling Ordinary Least
GLS (endog, [exog. Hasconst, missing, rho]) This method helps in calculating generalized least square.
RollingWLS (endog, exog[, weights, window, …]) This functionality is responsible for articulating the value of rolling weighted least square.
GLSAR (endog, exog[, rho, has constant]) The method will help us to find out the generalized least squares along with the consideration of the covariance structure.
WLS (endog, exog[,has constant, missing, weights]) This has the long form of weighted Least Squares.
OLS (endog, [,exog, missing, has constant]) This is the most basic functionality that calculates the ordinary least square value.

Statsmodels API Linear Models

The linear models also involve various methods provided to inculcate linear model functionality ins statistical analysis and testing. The basic functionalities and their description are summarized in the below table –

Functionality Description
BinomialBayesMixedGLM (endog, exog, exog_vc, …) This functionality enables the user to calculate the generalized Linear Mixed Model along with the estimation based on Bayesian’s structure.
GLM (endog, exog[, family, exposure, offset,…]) This helps in constructing the models that are of generalized Linear structure.
PoissonBayesMixedGLM(endog, exog_vc, exog, ident) This functionality enables the user to calculate the generalized Linear Mixed Model along with the estimation based on Bayesian’s structure.
GLMGam (endog, [exog, alpha, smoother, …]) This is used for the calculation of GAM that stands for Generalized Additive Models.

Statsmodels API Count Models

The Count models involve various methods provided to count and discrete model functionality ins statistical analysis and testing. The basic functionalities and their description are summarized in the below table –

Method

Description

Probit (endog, exog[,rank checking]) This method is used to implement the probit model and create an instance of the same.
Logit (endog, [exog [, rant checking]]) This method is used to implement the logit model and create an instance of the same.
Poisson (endog, [exog [, offset, exposure]]) This method is used to implement the Poisson model and create an instance of the same.
MNLogit (endog, [exog [, offset, exposure]]) This method is used to implement the Multinomial Logit model and create an instance of the same.
NegativeBinomial (endog, [exog, …]) This method is used to implement the Negative Binomial and create an instance of the same.
GeneralizedPoisson (endog, [exog [, p, offset, exposure, …]]) This method is used to implement the generalized Poisson model and creating an instance of the same.
ZeroInflatedPoisson (endog, [exog ,…]]) This method is used to implement the poisson zero inflated model and creating an instance of the same.
NegativeBinomialP (endog, [exog, p, offset, …]) This method is used to implement the generalized Negative Binomial model and creating an instance of the same.
ZeroInflatedNegativeBinomialP (endog, [exog ,…]]) This method is used to implement the zero inflated generalized Negative Binomial model and creating an instance of the same.
ZeroInflatedNegativePoisson (endog, [exog ,…]]) This method is used to implement the zero inflated generalized Negative Poisson model and creating an instance of the same.
OrderedModel( endog, exog [distribution, offset]) Normal distribution and logistic kind of functionality that is used for creating an ordered model.

Statsmodels api tsa.api

tsa.api is the package that involves the model consisting of time series related manipulations. Below is the list of some of the tsa.api package methods used in statsmodels –

All in One Software Development Bundle(600+ Courses, 50+ projects)
Python TutorialC SharpJavaJavaScript
C Plus PlusSoftware TestingSQLKali Linux
Price
View Courses
600+ Online Courses | 50+ projects | 3000+ Hours | Verifiable Certificates | Lifetime Access
4.6 (86,560 ratings)
Method Description
Ccf(x,y[,adjusted,fft]) This method enables us to perform cross sectional manipulations.
Acf(x, [nlags, alpha, adjusted, fft, qstat….]) This method enables us to perform automatic correlation manipulations.
Bds (x, epsilon, distance, max dimensions) In order to achieve independence between the time series, we can make use of BDS test statistics.
Pacf(x, [nlags, alpha, method]) It helps in calculating the estimation of autocorrelation that is partial in nature.

Statsmodels api Time-Series Tools

Some of the methods related to the time series tools are as listed below –

Function Description
Detrend (x, [axis, order]) Considering the 0 to 1 axis the derend of the array provided with the proposed order of an array can be done.
Add_lag (x, [lags, insert, column, drop]) The output of this function is an array involving the lags included in it as mentioned.
DeterministicProcess (index, * [, period]) This helps in creation of a class of containers for deterministic terms.

Statsmodels api formula.API

It has a wide range of methods and functions provided for it. Some of them are listed below –

Method Description
Ols (formula, data, [drop_cols, subset]) Using the supplied data frames and formulas create one model.
Glmgam (formula, data, [drop columns, subset]) Using the supplied data frames and formulas create one model.
Phreg (formula, data [, entry, status, …]) Using the supplied data frames and formulas create one regression model for proportional hazards.

Conclusion

The statsmodels API involves various categories of models and help us execute various functionalities related to each of the domain of the model.

Recommended Articles

This is a guide to Statsmodels API. Here we discuss the Introduction, overviews, regression, linear models, count models, Time-Series Tools respectively. You may also have a look at the following articles to learn more –

  1. GitHub API
  2. JavaFX API
  3. Statistical Analysis in Python
  4. java collection api
Popular Course in this category
Software Testing Training (11 Courses, 2 Projects)
  11 Online Courses |  2 Hands-on Projects |  65+ Hours |  Verifiable Certificate of Completion
4.5
Price

View Course

Related Courses

Selenium Automation Testing Training (11 Courses, 4+ Projects, 4 Quizzes)4.9
Appium Training (2 Courses)4.8
JMeter Testing Training (3 Courses)4.7
0 Shares
Share
Tweet
Share
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Java Tutorials
  • Python Tutorials
  • All Tutorials
Certification Courses
  • All Courses
  • Software Development Course - All in One Bundle
  • Become a Python Developer
  • Java Course
  • Become a Selenium Automation Tester
  • Become an IoT Developer
  • ASP.NET Course
  • VB.NET Course
  • PHP Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2022 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Software Development Course

C# Programming, Conditional Constructs, Loops, Arrays, OOPS Concept

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA
Free Software Development Course

Web development, programming languages, Software testing & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more