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Analytics

forecasting

Statistics is commonly misunderstood, as it can be:

- descriptive statistics. As measurement very visiable and in the context trustworthy
- Mathematical statistical theory. As it is theorethical it is not visiable but trustworthy as it must be proved.
- Statistical prove of research assumptions. It is using the statistical theory but has introduced uncertaintity.
- The learning machines approach with models are using all kind of assumptions using some statistical procedures workin to results with a level of uncertainty.

A long historical backgound exists with:

- philosophic connection
- measuring the human environment
- predicting the unknown

Chapter Subjects |
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Statistics Abuse |

At the glossary references to meaning of words are collected Analytics - mathematics

All references off abuse and (mis)intrepretation:

All references off abuse and (mis)intrepretation:

- Information Technology at: Abuse in IT
- Business, including Financials: Business failures

I´m working mostly on other pages at this moment (aug 2012).

Found this was subject to do as dedicated subject. Links and parapgraph´s will be moved to here.

For the most time this page will be a mesh-up. As soon I see the hit-ratio will grow I will do a clean-up.

Statistical proof (mis)intrepretation |

Use & Abuse of statistics (mis)intrepretation |

- Correlation may not imply causation, but it sure can help us insinuate it. Numerics_in_Excel

- List of cognitive biases (wiki) Cognitive biases are tendencies to think in certain ways. Cognitive biases can lead to systematic deviations from a standard of rationality or good judgment, and are often studied in psychology and behavioral economics.
- Correlation versus Causation: The Science, Art, and Magic of Experimental Design (sctr7 aug 2013)

Probably many things have become better at MS.

However, many (most?) types of investment data are not evenly or normally distributed. Applying standard statistics to such information produces unusable results, yet are often cited as meaningful and the basis of some conclusion.

List_of_biases_in_judgment_and_decision_making

meierlaw.pdf

Knowledge-based_theory_of_the_firm

Social_network_analysis

One of the most famous sayings about statistics is the line: “There are three types of lies, lies, damned lies and statistics.” This was stated by author Mark Twain (Samuel Clements) and quoted by British statesman Benjamin Disraeli. There is a book entitled, “How to lie with statistics”.

- Top Mistakes to Avoid in Analytics Implementations (statslice - )
- the-22-most-common-mistakes-made-during-statistical-analysis (squido blog solvermark)

- The hidden biases in big data (HBR april 2013, kate crawford )
- the-22-most-common-mistakes-made-during-statistical-analysis (squido blog solvermark)

- Boston probe's big data use hints at the future (FCW april 2013, frank kronkel) missing as preventation
- when data flows faster than it can be processed (Bigdatanews april 2013, Vincent Granville)

The L´Aquila earthquake – Could have known better? (theusrus martin march 2013)

- Malcolm Gladwell: Incompetence annoys, overconfidence terrifies (blogit july 2013)

- The Battle of Chancellorsville of het gevaar van ‘perfecte informatie’ (blogit july 2013)

- Big Data Fakers: 5 Warning Signs (informationweek apr 2013, Mark E. Johnson)

- Microsoft Goes After 3 Big Data Myths (informationweek mar 2013, Jeff Bertolucci)

The dutch news I have followed:>

- Diederik_Stapel (wiki)

- 2012/06/25/hoogleraar-erasmus (nrc)
- niet_bewust_gemanipuleerd (nrc)
- leugens

Only 18 (24%) of the 75 articles documented appropriate methods for sample size calculations. Only 34 (45%) limited their reports to analyses judged to be appropriate. Fully 26 (34%) failed to report any analyses that were judged to be appropriate. The most commonly used inappropriate analysis was an analysis at the individual level that ignored the groups altogether. Nine articles (12%) did not provide sufficient information.

comment to: Ben Goldacre - Bad Pharma (Idea Pharma).

Protestantism is concentrated in the north and east and Roman Catholicism is concentrated in the south and west of Europe cuased by the reformation.

The people of Northern Europe are longer than in southern Europe. Human height

There is a strong statistical evicdence of human height and religion.

No one will believe (I hope) changing of religion will influence your body height.

The data showed that there were similar patches on each returning B-29 where there was no damage from enemy fire, leading Wald to conclude that these patches were the weak spots that must be reinforced. This is still considered today seminal work in the then-fledgling discipline of operational research.

- Spreadsheet_risk (wikepedia)
- Hacking the Budget (Xlerant blog 2013 feb)
- Excel mistakes (eusprig)
- Excel mistakes (audinator)

- 1000s of spreadsheets (Anaplan blog)
- Excel 2000, 2003 and 2007 faults, problems, workarounds and fixes (daheiser.info 2008)
- Excel Financial Model Auditing (accessanalytic.com.au)
- spreadsheet Research (panko Shidler) Reports of Spreadsheet Errors in Practice

Still being referred as in:

- 88-of-spreadsheets-have-errors (marketwatch 2013 apr)
- the-excel-depression (nytimesh 2013 apr , Paul Krugman)

- Staat blundert fors met derivaten No check
- Enorme_blunder_Leiden No check

Having the research set up correctley. All figures worked out correctly, there is still a probability of publising a result that is wrong. Or a result not published because the missing of underpinning figures was wrong.

The ethics with research on humans is not to be ignored wiki/Guidelines_for_human_subject_research

- 855_11 common pitfalls
- tenpitfalls_wdf48122.pdf
- big-data-is-great-but-dont-forget-intuition (nytimes)

The ethics with research on humans is not to be ignored wiki/Guidelines_for_human_subject_research

- The Believers in Flat Earth Not About to Change Minds (foxnews)
- The Do they really think the earth is flat? (bbc)

- Predicting the chance that your tax return will be audited (datascience)
- ierland route via NL (nu.nl 2012 feb)

- pitfalls-of-prediction (nij.gov national institue of Justice, feb 2012 Greg Ridgeway )

Persons | Modern times I |
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Nassim_Nicholas_Taleb | (1960) Lebanese American essayist, scholar and statistician,[1] whose work focuses on problems of randomness, probability and uncertainty.[3] His 2007 book The Black Swan was described in a review by the Sunday Times as one of the twelve most influential books since World War II |

home-BI BI analytics BI Tools Suppliers statistics analyses descriptive statistics data at work stat (ir)responsible stat educational

© 2012 J.A.Karman (21 apr 2012)