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R-Squared
Related Books
See also:
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R-Squared Related Scholarly Papers,
or
R-Squared Home Page.
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Book
Description
Applied work in business and economics often require a solid
understanding of econometric methods to support decision
making. This book provides this, encouraging an active
engagement with these methods by means of examples and
exercises, so that the student develops a working
understanding and hands-on experience with current day
econometrics.
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Book
Description
Today's most all-inclusive reference of technical indicators
--what they are and how to use them to add value to any
trading program Technical analysis has become an incredibly
popular investors' tool for gauging market strength and
forecasting short-term direction for both markets and
individual stocks. But as markets have changed dramatically,
so too have technical indicators and elements. The
Encyclopedia of Technical Market Indicators provides an
alphabetical and up-to-date listing of hundreds of today's
most important indicators. It defines what each indicator
is, explains the philosophy behind the indicator, and of the
greatest importance provides easy-to-understand guidelines
for using it in day-to-day trading. Broad in both scope and
appeal, this one-of-a-kind reference painstakingly updates
information from the previous edition plus defines and
discusses nearly 100 new indicators.
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Book
Description
This modern statistics text discusses the extension of the
linear model through the regression model. It extensively
addresses the generalized linear model, GLM diagnostics,
generalized linear mixed models, trees, and the use of
neural networks in the field of statistics. It discusses the
regression model in three forms: through the use of dummy
variables for qualitative predictors, by allowing
transformation of variables as in the Box-Cox
transformation, and the use of weights that allow
heterogeneous error structures and the exclusion of
outliers. R is used throughout the book to aid with
computation and model building.
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Book
Description
Investing by the Numbers provides a framework for using
scientific principles to problem solve for the pitfalls that
inevitably occur when implementing financial theories into
practice.
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Book
Description
Provides a comprehensive and integrated survey of the steps
taken to measure performance as well as a reference guide to
the calculation and interpretation of the various risk and
return statistics commonly encountered by anyone responsible
for selecting, monitoring, and evaluating the performance of
investment managers.
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Book
Description
In the first book that directly uses R to teach data
analysis, Linear Models with R focuses on the practice of
regression and analysis of variance. It clearly demonstrates
the different methods available and more importantly, in
which situations each one applies. It covers all of the
standard topics, from the basics of estimation to missing
data, factorial designs, and block designs, but it also
includes discussion on topics, such as model uncertainty,
rarely addressed in books of this type. The presentation
incorporates an abundance of examples that clarify both the
use of each technique and the conclusions one can draw from
the results. All of the data sets used in the book are
available for download from the Internet.
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Book
Description
A reference for investors, completely cataloging today's
major technical analysis indicators for trading stocks,
bonds, futures, and options. Features quick-read 2-4 page
sections for over 135 indicators, detailed charts and tables
with calculations on over 80 indicators, and tools for
improved trading profits in every market.
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Book
Description
Using R for Introductory Statistics presents a
self-contained treatment of statistical topics and the
intricacies of the R software. The pacing is such that
students are able to master data manipulation and
exploration before diving into more advanced statistical
concepts. The book treats exploratory data analysis with
more attention than is typical, includes a chapter on
simulation, and provides a unified approach to linear
models. This text lays the foundation for further study and
development in statistics using R. Appendices cover
installation, graphical user interfaces, and teaching with
R, as well as information on writing functions and producing
graphics.
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R-Squared Home Page.
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