LIMDEP

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LIMDEP topic overview

The analysis highlights History and Products as prominent areas in the source structure around LIMDEP.

Related topics: 31
Source areas: 3
Connected nodes: 34
Extracted relationships: 23
Related term clusters: 15
Bridge connections: 34

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Models · 15 topics

Data Analysis · 14 topics

History · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers: Econometric Software, Inc.
License: proprietary software
Operating system: Windows
Original author: William H. Greene
Stable release: 11 / September 7, 2016
Type: statistical analysis econometric analysis

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Explore different angles and find fresh ideas to shape your next piece of content.

LIMDEP

15Linear regression · Nonlinear regression · Heteroscedasticity-consistent standard errors

16William Greene (economist) · NLOGIT · Data transformation (statistics)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How LIMDEP connects Entity context

The extracted context around LIMDEP shows recurring relationship patterns in the source. For example, LIMDEP → Australia, Econometric Software, Greene, Inc, LIMited DEPendent, United States, William Another extracted example is LIMDEP → Anyone, Sydney, University. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to history · 7

LIMDEP → Australia, Econometric Software, Greene, Inc, LIMited DEPendent, United States, William

related to List server · 3

LIMDEP → Anyone, Sydney, University

Developers · 1

LIMDEP → Econometric Software, Inc.

License · 1

LIMDEP → proprietary software

Operating system · 1

LIMDEP → Windows

Original author · 1

LIMDEP → William H. Greene

Stable release · 1

LIMDEP → 11 / September 7, 2016

Type · 1

LIMDEP → statistical analysis econometric analysis

Website · 1

LIMDEP → www.limdep.com

is a · 1

LIMDEP → econometric and statistical software package with a variety of estimation tools

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data econometric software analysis models estimation tools list windows program may choice william greene package server also user statistical command

LIMDEP relationships Subject–Predicate–Object triples

TTTA extracted 23 structured relationships around LIMDEP. Examples in this analysis include LIMDEP → Developers → Econometric Software, Inc. and LIMDEP → License → proprietary software. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
LIMDEP	Developers	Econometric Software, Inc.	1.00	infobox
LIMDEP	License	proprietary software	1.00	infobox
LIMDEP	Operating system	Windows	1.00	infobox
LIMDEP	Original author	William H. Greene	1.00	infobox
LIMDEP	Stable release	11 / September 7, 2016	1.00	infobox
LIMDEP	Type	statistical analysis econometric analysis	1.00	infobox
LIMDEP	Website	www.limdep.com	1.00	infobox
LIMDEP	is a	econometric and statistical software package with a variety of estimation tools	0.90	text
CSV	instance of	Data are input via standard ASCII formats	0.80	text
DIF	instance of	Data are input via standard ASCII formats	0.80	text
rectangular ASCII	instance of	Data are input via standard ASCII formats	0.80	text
as well as XLS	instance of	Data are input via standard ASCII formats	0.80	text

Related concept clusters Related term clusters

The concept neighborhoods around LIMDEP bring nearby vocabulary together. In this analysis, examples include Analysis, Tools and Estimation. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

LIMDEP
- Analysis
- Tools
- Estimation
- Supports
- Software
- Discrete
- Interface
- Statistical
- Choice
- Server
- Windows
- List
limdep
- Analysis
- Tools
- Estimation
- Supports
- Software
- Discrete
- Interface
- Statistical
- Choice
- Server
- Windows
- List
survival analysis
- Data
- Tools
- Windows
- Estimation
- Limdep
- Frontier
- Methods
- Panel
- Series
- Time
- Discrete
- Econometric
panel data
- Frontier
- Series
- Time
- Model
- Modeling
- Supports
- Binary
- Formats
- Input
- Set
- Estimation
- May
data envelopment analysis
- Data
- Tools
- Windows
- Estimation
- Limdep
- Frontier
- Methods
- Panel
- Series
- Time
- Binary
- Formats
count data
- Binary
- Formats
- Input
- Set
- Estimation
- May
- Frontier
- Methods
- Panel
- Series
- Time
- Discrete
data analysis
- Data
- Tools
- Windows
- Estimation
- Limdep
- Frontier
- Methods
- Panel
- Series
- Time
- Binary
- Formats
robust estimation
- Discrete
- Choice
- Tools
- Frontier
- Methods
- Panel
- Series
- Time
- Analysis
- Package
- Limdep
- Data

Connections between topic areas Semantic bridges

For LIMDEP, one of the stronger structural bridges in this analysis connects LIMDEP with Models. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

LIMDEP — Models · splits 19 ⟂ 16

LIMDEP — Data Analysis · splits 20 ⟂ 15

LIMDEP — History · splits 32 ⟂ 3

Map overview Semantic statistics

LIMDEP

Nodes35

Edges34

Triples23

Avg. degree1.94

Density0.057143

Components1

Source & methodology

TTTA analyzes the structure around LIMDEP to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — LIMDEP · EN edition · Analysis: TopicsToTalkAbout

LIMDEP: History & Products

LIMDEP topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

History

Models

Data Analysis

For the semantics nerds

Advanced semantic analysis

How LIMDEP connects Entity context

LIMDEP

Top relations

Important terminology

Important terminology

LIMDEP relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

LIMDEP

Source & methodology