Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

When isotopes of carbon are fed to photosynthesizing leaves, metabolites of the Calvin–
Benson cycle (CBC) are rapidly labeled initially, but then the rate of labeling slows …

We argue word embedding models are a useful tool for the study of culture using a historical
analysis of shared understandings of social class as an empirical case. Word embeddings …

A critical review is given of recent research activity on bootstrap and related procedures.
Theoretical work has shown the bootstrap approach to be a potentially powerful addition to …

This study attempts to investigate the time-varying long-term memory in the Bitcoin market
through a rolling window approach and by employing a new efficiency index (Sensoy and …

Using a new dataset of environmental, social and corporate governance (ESG) company
ratings and state-of-the-art statistical methodology, this article analyses the performance of …

Success in the use of computer models for simulating environmental variables and
processes requires objective model calibration and verification procedures. Several …

This article introduces a resampling procedure called the stationary bootstrap as a means of
calculating standard errors of estimators and constructing confidence regions for parameters …

The jackknife and bootstrap are the most popular data-resampling meth ods used in
statistical analysis. The resampling methods replace theoreti cal derivations required in …

This new edition continues to serve as a comprehensive guide to modern and classical
methods of statistical computing. The book is comprised of four main parts spanning the …