## Data Analysis: Statistical and Computational Methods for Scientists and EngineersThe fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work. |

### What people are saying - Write a review

### Contents

1 | |

7 | |

15 | |

The MonteCarlo Method | 41 |

5 Some Important Distributions and Theorems | 69 |

6 Samples | 109 |

7 The Method of Maximum Likelihood | 153 |

8 Testing Statistical Hypotheses | 175 |

Literature | 341 |

A Matrix Calculations | 347 |

B Combinatorics | 404 |

C Formulas and Methods for the Computation of StatisticalFunctions | 409 |

Methodsand Programs for Their Computation | 415 |

E Utility Programs | 425 |

F The Graphics Class DatanGraphics | 431 |

G Problems Hints and Solutions and Programming Problems | 447 |

### Other editions - View all

Data Analysis: Statistical and Computational Methods for Scientists and ... Siegmund Brandt No preview available - 2014 |