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Quantitative Analysis provides statistical consulting services for government and industry. We have performed statistical
sampling, modeling, and analyses in litigation, real estate, telecommunications, finance, accounting, and other areas. Our
clients include the US Geological Survey, Pfizer, and The City Of New York Law Department.
Areas of specialization:
* Quantitative Estimation and Modeling
* Large and Complex Datasets
* Statistics Expertise in Litigation
* Statistical Sampling
* Marketing Modeling
* Real Estate Data Analysis
Project Profiles
Contact us at (646) 461 6153 or email Dr. Salzberg directly by clicking here.
sampling, modeling, and analyses in litigation, real estate, telecommunications, finance, accounting, and other areas. Our
clients include the US Geological Survey, Pfizer, and The City Of New York Law Department.
Areas of specialization:
* Quantitative Estimation and Modeling
* Large and Complex Datasets
* Statistics Expertise in Litigation
* Statistical Sampling
* Marketing Modeling
* Real Estate Data Analysis
Project Profiles
- Directed and conducted data analysis and statistical design in a series of tests for BellSouth, Verizon, Ameritech,
and Qwest. Developed software and procedures for calculating performance metrics and evaluating the competitive
environment for local phone service. Testified before public service commissions in several states, including New
York, Virginia, Florida, Michigan, and Colorado.
- In a series of matters on behalf of the law department for a major city, created and analyzed a massive real estate
database, modeled market and sales values, and wrote expert reports to determine potential biases of alternative
methods of valuing commercial real estate, and to determine the validity of assumptions about lease lengths, turnover
rates, and other issues affecting rents and property values.
- On behalf of the Arava Institute of Environmental Studies, advised on the design and sampling methodology for a
broad-based survey of environmental education in middle and high schools. More than 7,000 students were
surveyed in a sample that was stratified by size of town, income level, and other socio-economic variables.
Performed weighted statistical analysis to project survey results to the population. Conclusions were presented at
the 2006 Conference of the North American Association for Environmental Education in St. Paul, Minnesota.
- As expert witness on behalf of large national grocery chain, developed statistical model to project claim payout rates
from historical closure patterns (based on “Fisher-Lange” method). Evidence was critical in client’s ability to
achieve favorable settlement.
- Developed custom application for global construction company for pricing insurance costs. Distributed application
is used by sales staff nationwide and consolidates data for analysis, cost allocation, and premium tracking by
corporate insurance group.
- For a major pharmaceutical company, analyzed company and external data to determine reliability and potential
biases in using external data sources. Analyzed physician-specific data for a period of 36 months concerning
product marketing to approximately 1 million prescription drug subscribers.
- For a large direct market publisher, improved customer response modeling while reducing the costs of test
marketing. These improvements are expected to lead to cost savings and revenue improvement totaling about one
million annually.
- On behalf of a Fortune 100 company, created statistical models to determine the probabilities and likely severities of
accidents for different employee and accident types. This project resulted in recommended annual savings of $3
million.
- Modeled television audience ratings to determine the Public Broadcasting System's share of cable royalty
distributions. Used statistical methods to determine a reliable estimate of PBS's cable royalty share. The estimate
resulted in a multi-million dollar decision in favor of the Public Broadcasting System by the Cable Royalty Tribunal.
Contact us at (646) 461 6153 or email Dr. Salzberg directly by clicking here.
