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Nigel Marriott's Blog

An independent statistician using data to understand our world and to predict the future

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Stats Training Materials – Forecasting & Risk Modelling

March 1, 2019 By Nigel

All organisations want to understand what has happened in the past and what will happen in the future.  The use of statistics and statistical thinking is essential to be a better forecaster but that doesn’t mean it is easy to do!  At the same time, we are bombarded with forecasts in the media and that can make it difficult to decide which forecasts to pay attention to and which can be ignored.

My course “Identifying Trends & Making Forecasts” is all about doing the basics right when it comes to analysing trends and making predictions.  To support this course, this post makes available a variety of material in the public domain covering the following themes:-

[Read more…] about Stats Training Materials – Forecasting & Risk Modelling

Filed Under: Stats Training Tagged With: forecasting, Forecasting model, Forecasts, Statistical Training, Teaching Materials, trend analysis

Stats Training Materials – Multivariate Analysis

December 31, 2018 By Nigel

If I were to remark to you that “the weather is very nice today” or “I didn’t like that person”, it is unlikely that I would have made such statements based on a single variable.  It is more likely that a combination of variables were evaluated to arrive at these statements.  When we analysis datasets with multiple variables, we are undertaking Multivariate Statistical Analysis.

Multivariate Analysis comes in two flavours :-

  1. Analysis of Correlations between Multiple Variables – Known as R-Analysis – Informally known as reducing the dimensionality of your dataset.
  2. Analysis of Distance between Many Objects – Known as Q-Analysis – Informally known as mapping, clustering or segmentation of your dataset.

[Read more…] about Stats Training Materials – Multivariate Analysis

Filed Under: Stats Training Tagged With: multivariate data, principal components analysis, Segmentation, standardisation, Statistical Training, Teaching Materials, z-scores

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