## The Collected Works of John W. Tukey: Philosophy and Principles of Data Analysis 1965-1986, Volume 4This volume of eleven articles compiles important papers by Tukey that examine the intriguing problems inherent in the area of multiple comparisons and provide a useful framework for thinking about them. Each volume in the set is indexed and contains a bibliography. |

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### Contents

1967 | |

data 1951b | 493 |

Unsolved problems of experimental 77 | 499 |

The future of data analysis 1962a 391 | 502 |

Preface to the Collected Works by William S Cleveland xi | 517 |

an expository | 549 |

A statisticians comment 1967e | 579 |

What have statisticians been forgetting? | 587 |

Exploratory data analysis as a part of a | 793 |

We need both exploratory and | 811 |

Choosing techniques for the analysis | 869 |

An overview of techniques of data analysis | 891 |

Introduction to styles of data analysis | 969 |

history and prospects 1984d | 985 |

Sunset salvo 1986a | 1003 |

3 | |

Data analysis including statistics 1968e | 601 |

sanctification or | 721 |

Some further inputs 1970b | 741 |

Lags in statistical technology 1973c | 777 |

### Other editions - View all

The Collected Works of John W. Tukey: Philosophy and Principles of Data ... L.V. Jones No preview available - 1987 |

The Collected Works of John W. Tukey: Philosophy and Principles of Data ... L.V. Jones No preview available - 1987 |

### Common terms and phrases

answer appear applied approach approximately assessment attention average better calculation choice coefficients Collected combinations complex confidence confirmatory corresponding data analysis dependence detail developed deviation direct discussion distribution effects error estimate example experience exploratory expressed function further Gaussian give given graphical groups ideas important indication individual instance interval involved jackknife John kinds least less limits linear look mathematical matter mean measurement median methods models multiple natural normal observations particular perhaps plots points population possible practice present prior probability problems procedures questions reasonable reference regression require residuals responses sample sample mean scale seems significance simple single situations specific standard statisticians statistics structure suggested summary Table techniques tests theory things Tukey uncertainty understanding usually values variables variance