|
Showing 1 - 11 of
11 matches in All Departments
|
Oak Cliff (Hardcover)
Alan C Elliott, Patricia K Summey, Gayla Brooks Kokel
|
R781
R653
Discovery Miles 6 530
Save R128 (16%)
|
Ships in 10 - 15 working days
|
This book focuses on the historic ramifications of a handful of
essential events that shaped the American past. It describes the
causes of a select number of epoch-making events and examines the
short- and long-term consequences of these critical turning point
moments.
Virtually any random process developing chronologically can be
viewed as a time series. In economics closing prices of stocks, the
cost of money, the jobless rate, and retail sales are just a few
examples of many. Developed from course notes and extensively
classroom-tested, Applied Time Series Analysis with R, Second
Edition includes examples across a variety of fields, develops
theory, and provides an R-based software package to aid in
addressing time series problems in a broad spectrum of fields. The
material is organized in an optimal format for graduate students in
statistics as well as in the natural and social sciences to learn
to use and understand the tools of applied time series analysis.
Features Gives readers the ability to actually solve significant
real-world problems Addresses many types of nonstationary time
series and cutting-edge methodologies Promotes understanding of the
data and associated models rather than viewing it as the output of
a "black box" Provides the R package tswge available on CRAN which
contains functions and over 100 real and simulated data sets to
accompany the book. Extensive help regarding the use of tswge
functions is provided in appendices and on an associated website.
Over 150 exercises and extensive support for instructors The second
edition includes additional real-data examples, uses R-based code
that helps students easily analyze data, generate realizations from
models, and explore the associated characteristics. It also adds
discussion of new advances in the analysis of long memory data and
data with time-varying frequencies (TVF).
Virtually any random process developing chronologically can be
viewed as a time series. In economics closing prices of stocks, the
cost of money, the jobless rate, and retail sales are just a few
examples of many. Developed from course notes and extensively
classroom-tested, Applied Time Series Analysis with R, Second
Edition includes examples across a variety of fields, develops
theory, and provides an R-based software package to aid in
addressing time series problems in a broad spectrum of fields. The
material is organized in an optimal format for graduate students in
statistics as well as in the natural and social sciences to learn
to use and understand the tools of applied time series analysis.
Features Gives readers the ability to actually solve significant
real-world problems Addresses many types of nonstationary time
series and cutting-edge methodologies Promotes understanding of the
data and associated models rather than viewing it as the output of
a "black box" Provides the R package tswge available on CRAN which
contains functions and over 100 real and simulated data sets to
accompany the book. Extensive help regarding the use of tswge
functions is provided in appendices and on an associated website.
Over 150 exercises and extensive support for instructors The second
edition includes additional real-data examples, uses R-based code
that helps students easily analyze data, generate realizations from
models, and explore the associated characteristics. It also adds
discussion of new advances in the analysis of long memory data and
data with time-varying frequencies (TVF).
The updated Second Edition of Alan C. Elliott and Wayne A.
Woodward's "cut to the chase" IBM SPSS guide quickly explains the
when, where, and how of statistical data analysis as it is used for
real-world decision making in a wide variety of disciplines. This
one-stop reference provides succinct guidelines for performing an
analysis using SPSS software, avoiding pitfalls, interpreting
results, and reporting outcomes. Written from a practical
perspective, IBM SPSS by Example, Second Edition provides a wealth
of information-from assumptions and design to computation,
interpretation, and presentation of results-to help users save
time, money, and frustration. New to this edition: Step-by-step
SPSS instructions have been integrated into every example. An
all-new chapter describes the three methods used by SPSS to create
graphics. A new Chapter 10 on Factor Analysis has been added.
Examples in every chapter have been enhanced with added discussion
and more detail. Additional screen shots and a redesigned format
make the book easier to read and information easier to locate. All
examples have been updated to reflect features in the latest
version of SPSS.
|
You may like...
Poe and Place
Philip Edward Phillips
Hardcover
R3,319
Discovery Miles 33 190
|