This paper proposes strategies to detect time reversibility in stationary stochastic processes by using the properties of mixed causal and noncausal models. It shows that they can also be used for non-stationary processes when the trend component is computed with the Hodrick-Prescott filter...

The application of chart pattern, or technical, analysis to climate time series data is demonstrated. The technique is known in the field of finance to perform predictions of future changes in prices. It is shown that global average temperature anomalies (HadCRUT4) clearly formed an ascending...

Weather and temperatures vary in ways that are difficult to explain and predict precisely. In this article we review data on temperature variations in the past as well possible reasons for these variations. Subsequently, we review key properties of global climate models and statistical analyses...

We propose a simple seasonal autoregressive model with a linear trend to forecast the Central England Temperature record. The data is divided into three distinct epochs: pre-industrial revolution, post-industrial revolution, and 21st. Century. An AR(3)xSAR(8) seasonal autoregressive model with...