It uses the vast quantity of available baseball records to teach such matters as descriptive statistics for one quantitative variable, sports betting, probability distribution functions for a discrete random variable, confidence intervals, and streaking.
What does PDF stand for?
PDF stands for Probability Distribution Function
This definition appears very frequently and is found in the following Acronym Finder categories:
- Information technology (IT) and computers
See other definitions of PDF
We have 1309 other meanings of PDF in our Acronym Attic
- Premier Diesel Fuel (low sulfur diesel)
- Pretrial Detention Facility (various locations)
- Pretty Damn Funky
- Pretty Damn Funny
- Pretty Darn Fast
- Primary Direction of Fire
- Principal Direction of Fire
- Printer Definition File
- Printer Description File (File Name Extension)
- Probability Density Function
- Processor Defined Function
- Procurement Data File
- Product Development & Fulfillment company
- Professional Development Foundation (UK)
- Professional Development Fund (various organizations)
- Proficiency Diploma in French (Nigeria)
- Program Data File
- Program Data Form
- Program Development Facility
- Programmable Data Format
Samples in periodicals archive:
The probability distribution function (the integral of the density function) gives that information directly.
The international contributors model asynchronous systems using probability distribution functions, compare onloading and offloading strategies to improve network interfaces, and exploit data- and thread-level parallelism for image correlation.
Hence a continuous probability distribution function (pdf) becomes a discrete pdf that can be written: [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (1) where w is the probability mass function, [delta] (x-n) is a delta function, and [PHI] is the cumulative probability distribution function.
ESTIMATION OF A RELATIVE WEIGHTING FACTOR FOR AREA NEGOTIATION The exponential probability distribution function and probability estimation have been defined as (Blaesid and Granfeldt, 2003): f(x/[micro]) = 1/[micro] [e.
N](x) is the cumulative probability distribution function (CPDF) of the number of fatalities per year, signifying the probability of less than fatalities per year.
Gollier (1995) first identified a necessary and sufficient condition for unambiguous comparative statics for demand under transformations of the asset's probability distribution function.