157 research outputs found
Detecting long-range dependence in non-stationary time series
An important problem in time series analysis is the discrimination between
non-stationarity and longrange dependence. Most of the literature considers the
problem of testing specific parametric hypotheses of non-stationarity (such as
a change in the mean) against long-range dependent stationary alternatives. In
this paper we suggest a simple approach, which can be used to test the
null-hypothesis of a general non-stationary short-memory against the
alternative of a non-stationary long-memory process. The test procedure works
in the spectral domain and uses a sequence of approximating tvFARIMA models to
estimate the time varying long-range dependence parameter. We prove uniform
consistency of this estimate and asymptotic normality of an averaged version.
These results yield a simple test (based on the quantiles of the standard
normal distribution), and it is demonstrated in a simulation study that -
despite of its semi-parametric nature - the new test outperforms the currently
available methods, which are constructed to discriminate between specific
parametric hypotheses of non-stationarity short- and stationarity long-range
dependence.Comment: Keywords and phrases: spectral density, long-memory, non-stationary
processes, goodness-of-fit tests, empirical spectral measure, integrated
periodogram, locally stationary process, approximating model
Olympic Sport Organisations in Times of Crisis and Change
Modern management is strategic and purpose-driven and has often been neglected in sports organizations. Here, for the first time, in close cooperation with eleven National Olympic Committees and the EOC EU Office of Sport, a guide to strategic management for sports organizations is presented, which also includes crisis and change management and increases crisis resilience.
It is aimed at all those interested in (sports) management of NPOs and Olympic organizations in particular. It is a good read and includes many workshops, case studies, examples and best practice applications. The authors have been researching sports management, Olympic research and sports communication for years.PublishedModern management is strategic and purpose-driven and has often been neglected in sports organizations. Here, for the first time, in close cooperation with eleven National Olympic Committees and the EOC EU Office of Sport, a guide to strategic management for sports organizations is presented, which also includes crisis and change management and increases crisis resilience.
It is aimed at all those interested in (sports) management of NPOs and Olympic organizations in particular. It is a good read and includes many workshops, case studies, examples and best practice applications. The authors have been researching sports management, Olympic research and sports communication for years
Cost and Revenue Overruns of the Olympic Games 2000â2018
In this open access book the cost and revenue overruns of Olympic Games from Sydney 2000 to PyeongChang 2018 from eight years before the Games to Gamesâtime are investigated to provide a base for future host cities. The authors evaluated the development of expenditure and revenues of the organizing committees to operate the event, and the investment of taxpayersâ money for Olympic venues (nonâOCOG budget). The study is based on data collected worldwide and is currently the most advanced study on cost and revenue changes of Olympic Games
Measuring stationarity in long-memory processes
In this paper we consider the problem of measuring stationarity in locally stationary longmemory
processes. We introduce an L2-distance between the spectral density of the locally
stationary process and its best approximation under the assumption of stationarity. The distance
is estimated by a numerical approximation of the integrated spectral periodogram and
asymptotic normality of the resulting estimate is established. The results can be used to construct
a simple test for the hypothesis of stationarity in locally stationary long-range dependent
processes. We also propose a bootstrap procedure to improve the approximation of the nominal
level and prove its consistency. Throughout the paper, we will work with Riemann sums of a
squared periodogram instead of integrals (as it is usually done in the literature) and as a byproduct
of independent interest it is demonstrated that the two approaches behave differently
in the limit
Detecting long-range dependence in non-stationary time series
An important problem in time series analysis is the discrimination between non-stationarity and longrange
dependence. Most of the literature considers the problem of testing specificc parametric hypotheses of
non-stationarity (such as a change in the mean) against long-range dependent stationary alternatives. In
this paper we suggest a simple nonparametric approach, which can be used to test the null-hypothesis of a
general non-stationary short-memory against the alternative of a non-stationary long-memory process. This
test is working in the spectral domain and uses a sieve of approximating tvFARIMA models to estimate
the time varying long-range dependence parameter nonparametrically. We prove uniform consistency of this
estimate and asymptotic normality of an averaged version. These results yield a simple test (based on the
quantiles of the standard normal distribution), and it is demonstrated in a simulation study that - despite of
its nonparametric nature - the new test outperforms the currently available methods, which are constructed
to discriminate between speci fic parametric hypotheses of non-stationarity short- and stationarity long-range
dependence
Cost and Revenue Overruns of the Olympic Games 2000â2018
In this open access book the cost and revenue overruns of Olympic Games from Sydney 2000 to PyeongChang 2018 from eight years before the Games to Gamesâtime are investigated to provide a base for future host cities. The authors evaluated the development of expenditure and revenues of the organizing committees to operate the event, and the investment of taxpayersâ money for Olympic venues (nonâOCOG budget). The study is based on data collected worldwide and is currently the most advanced study on cost and revenue changes of Olympic Games
Cooperative Development of L75 LOX Ethanol engine: Current Status with Focus on Capacitive Chamber Testing
In 2011 DLR and AEB agreed to cooperate in the field of liquid propulsion. The L75 engine project, which started in 2008 in Brazil, is the focus of this effort. The most important event in the project up to this date is the test campaign of the capacitive thrust chamber, a full-scale model of the L75 injection head and combustion chamber, which is the main focus of this paper, along with the status of other advances made in the project during the last year
The contribution of the FIFA world cup and the olympic games to green economy
This paper focuses on the contribution of mega events onto the development of a green economy at the event host location and discusses how to measure it. The promises of organizers usually are very ambitious but the question remains as to how realistic these claims are. This question will be addressed in three sections by using methods that are primarily analytical and critical rather than an empirical collection of data. The environmental sustainability of mega sport events is discussed and then a framework is developed to capture the green legacy and the basis for building up a green economy in all its dimensions. The main contribution mega events can make to developing a green economy at the host city will be explained. Furthermore, the paper seeks to explain why promises made during the bidding process on the environmental sustainability are often not met when it comes to the preparation for the event. The current obstacles to producing âGreen Gamesâ and building up a green economy are presented enlightened, ranging from financial shortcomings to a lack of serious environmental interest on the part of the organizers. In conclusion, it will be shown that mega events encourage the development of a green economy by their signaling power and educational opportunities
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