calculator

- an expert at calculation (or at operating calculating machines)

- a small machine that is used for mathematical calculations

- Something used for making mathematical calculations, in particular a small
electronic device with a keyboard and a visual display

- A calculator is a small (often pocket-sized), usually inexpensive electronic
device used to perform the basic operations of arithmetic. Modern calculators
are more portable than most computers, though most PDAs are comparable in size
to handheld calculators.

factoring

- Factoring is a financial transaction whereby a business sells its accounts
receivable (i.e., invoices) to a third party (called a factor) at a discount in
exchange for immediate money with which to finance continued business. Factoring
differs from a bank loan in three main ways.

- Sell (one's receivable debts) to a
*factor*

- factorization: (mathematics) the resolution of an entity into factors such
that when multiplied together they give the original entity

- (factored) Multiplied by an agreed number to take account of extreme adverse
conditions, errors, design deficiencies or other inaccuracies.

binomials

- (binomial) having or characterized by two names, especially those of genus
and species in taxonomies; "binomial nomenclature of bacteria"

- A noun phrase with two heads joined by a conjunction, in which the order is
relatively fixed (as in
*knife and fork*)

- A two-part name, esp. the Latin name of a species of living organism
(consisting of the genus followed by the specific epithet)

- (binomial) (mathematics) a quantity expressed as a sum or difference of two
terms; a polynomial with two terms

- (binomial) of or relating to or consisting of two terms; "binomial
expression"

- An algebraic expression of the sum or the difference of two
terms

factoring binomials calculator -
Negative Binomial

Negative Binomial Regression

This second edition of Hilbe's Negative
Binomial Regression is a substantial enhancement to the popular first edition.
The only text devoted entirely to the negative binomial model and its many
variations, nearly every model discussed in the literature is addressed. The
theoretical and distributional background of each model is discussed, together
with examples of their construction, application, interpretation and evaluation.
Complete Stata and R codes are provided throughout the text, with additional
code (plus SAS), derivations and data provided on the book's website. Written
for the practising researcher, the text begins with an examination of risk and
rate ratios, and of the estimating algorithms used to model count data. The book
then gives an in-depth analysis of Poisson regression and an evaluation of the
meaning and nature of overdispersion, followed by a comprehensive analysis of
the negative binomial distribution and of its parameterizations into various
models for evaluating count data.

The Factor wins the Rebel Stakes

The Factor, with Martin Garcia up, wins the
Grade II Rebel Stakes at Oaklawn Park in Hot Springs, AR. 3.19.2011

El
Factor Humano en Cornella

El Factor Humano, 3? Exposicion, Sala de
Exposiciones Garcia Nieto de Cornella de Llobregat.

factoring binomials calculator

"Stochastic Calculus for Finance evolved from
the first ten years of the Carnegie Mellon Professional Master's program in
Computational Finance. The content of this book has been used successfully with
students whose mathematics background consists of calculus and calculus-based
probability. The text gives both precise statements of results, plausibility
arguments, and even some proofs, but more importantly intuitive explanations
developed and refine through classroom experience with this material are
provided. The book includes a self-contained treatment of the probability theory
needed for stochastic calculus, including Brownian motion and its properties.
Advanced topics include foreign exchange models, forward measures, and
jump-diffusion processes. This book is being published in two volumes. The first
volume presents the binomial asset-pricing model primarily as a vehicle for
introducing in the simple setting the concepts needed for the continuous-time
theory in the second volume. Chapter summaries and detailed illustrations are
included. Classroom tested exercises conclude every chapter. Some of these
extend the theory and others are drawn from practical problems in quantitative
finance. Advanced undergraduates and Masters level students in mathematical
finance and financial engineering will find this book useful. Steven E. Shreve
is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and
winner of the Carnegie Mellon Doherty Prize for sustained contributions to
education. "

"Stochastic Calculus for Finance evolved from the first ten
years of the Carnegie Mellon Professional Master's program in Computational
Finance. The content of this book has been used successfully with students whose
mathematics background consists of calculus and calculus-based probability. The
text gives both precise statements of results, plausibility arguments, and even
some proofs, but more importantly intuitive explanations developed and refine
through classroom experience with this material are provided. The book includes
a self-contained treatment of the probability theory needed for stochastic
calculus, including Brownian motion and its properties. Advanced topics include
foreign exchange models, forward measures, and jump-diffusion processes. This
book is being published in two volumes. The first volume presents the binomial
asset-pricing model primarily as a vehicle for introducing in the simple setting
the concepts needed for the continuous-time theory in the second volume. Chapter
summaries and detailed illustrations are included. Classroom tested exercises
conclude every chapter. Some of these extend the theory and others are drawn
from practical problems in quantitative finance. Advanced undergraduates and
Masters level students in mathematical finance and financial engineering will
find this book useful. Steven E. Shreve is Co-Founder of the Carnegie Mellon MS
Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize
for sustained contributions to education. "