「The most important things in statistics are not the numbers, but the methods for producing them and the meaning behind them.」- 乔治·博克斯经典语录

The most important things in statistics are not the numbers, but the methods for producing them and the meaning behind them.

乔治·博克斯

💡 解读：统计学中最重要的不是数字，而是产生它们的方法及其背后的意义。

👤 更多乔治·博克斯经典语录 7句

If you get the design right, the analysis is easy.

乔治·博克斯

If you need statistics to find out what you are doing, you probably shouldn’t be doing it.

乔治·博克斯

To find out what happens to a system when you interfere with it, you have to interfere with it (not just passively observe it).

乔治·博克斯

The best time to design an experiment is after you have done it.

乔治·博克斯

The most important things in statistics are not the numbers, but the methods for producing them and the meanings behind them.

乔治·博克斯

All models are wrong, but some are useful.

乔治·博克斯

The most that can be expected from any model is that it can supply a useful approximation to reality.

乔治·博克斯

李娟

但愿同入梦。

琼瑶

悲伤就是知识

拜伦

表面看起来糟糕的事，本质上却往往并非如此。

塞涅卡

我绝不坚信这个时代没有放之四海而皆准的正义和良善的价值观，它们不仅仅有，而且不是朝令夕改流动无常的，它们是稳定而永恒的。

亚历山大·索尔仁尼琴

我们根本没想到要怀疑或轻视“历史的启示”；历史就是我们的一切。

恩格斯

奇花与丽日争妍，翠竹共青天斗碧。

吴承恩

大家礼义教子弟，小家凶恶训儿郎。

周希陶

真理就是自由人的祖国。真理不存在于丑化了的现实里。生命的第一个行动就是创造的行动。在争论中是不分高贵卑鄙，也不管称号姓氏的，重要的只是真理，在它面前人人平等。

罗曼·罗兰

人人为我，我为人人。

列宁

40句相邻名言

The problem of estimation is of a different nature. Here we are not concerned with testing a particular hypothesis, but with estimating the value of a parameter.

耶日·内曼

提出假设检验的显著性水平概念

Inductive behavior is a term used to describe the process of making decisions under uncertainty, where the consequences depend on the unknown state of nature.

耶日·内曼

提出假设检验的显著性水平概念

The theory of confidence intervals provides a method of estimating unknown parameters which is different from point estimation and hypothesis testing.

耶日·内曼

提出假设检验的显著性水平概念

The statistician cannot excuse himself from the duty of getting his head clear on the principles of scientific inference, but equally, no other thinking man can avoid a like obligation.

耶日·内曼

提出假设检验的显著性水平概念

The problem of testing statistical hypotheses is an old one, and its origins are obscure.

耶日·内曼

提出假设检验的显著性水平概念

The field of statistics is not only a tool for analyzing data but also a way of thinking about the world.

耶日·内曼

提出假设检验的显著性水平概念

The statistician cannot excuse himself from the duty of getting his head clear on the principles of scientific inference.

埃贡·皮尔逊

统计假设检验理论奠基人

In statistical work, the right mathematical tool must be used for the right problem, and the tool must be sharp.

埃贡·皮尔逊

统计假设检验理论奠基人

The problem of testing statistical hypotheses is an inseparable part of the general problem of estimation.

埃贡·皮尔逊

统计假设检验理论奠基人

The aim of the statistician is to infer from the sample what the population is.

埃贡·皮尔逊

统计假设检验理论奠基人

In statistical work, the right mathematical tool must be used for the right purpose.

埃贡·皮尔逊

统计假设检验理论奠基人

The problem of testing statistical hypotheses is an integral part of the general problem of scientific method.

埃贡·皮尔逊

统计假设检验理论奠基人

The statistician cannot evade the responsibility for understanding the process he applies or recommends.

埃贡·皮尔逊

统计假设检验理论奠基人

In scientific inference, we should aim at methods which are as objective as possible.

埃贡·皮尔逊

统计假设检验理论奠基人

The problem of testing statistical hypotheses is an old one, but its modern treatment dates from the work of Neyman and Pearson.

埃贡·皮尔逊

统计假设检验理论奠基人

All models are wrong, but some are useful.

乔治·博克斯

方差分析与实验设计先驱

The most that can be expected from any model is that it can supply a useful approximation to reality.

乔治·博克斯

方差分析与实验设计先驱

To find out what happens to a system when you interfere with it, you have to interfere with it (not just passively observe it).

乔治·博克斯

方差分析与实验设计先驱

The best time to design an experiment is after you have done it.

乔治·博克斯

方差分析与实验设计先驱

If you get the design right, the analysis is easy.

乔治·博克斯

方差分析与实验设计先驱

If you need statistics to find out what you are doing, you probably shouldn’t be doing it.

乔治·博克斯

方差分析与实验设计先驱

The most important things in statistics are not the numbers, but the methods for producing them and the meanings behind them.

乔治·博克斯

方差分析与实验设计先驱

Statistics is the science of learning from experience, especially the experience of others.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

The ultimate goal of statistical analysis is to extract information from data.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

In God we trust, all others must bring data.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

The purpose of statistics is to make the invisible visible.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

A good statistical analysis is like a good wine: it requires time, patience, and careful handling.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

Statistics is the science of learning from data.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

The ultimate goal of statistics is to extract information from data.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

In the absence of any other information, the best estimate of a parameter is its sample value.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

The purpose of statistical methods is to provide a rational basis for drawing conclusions from data.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

A good statistical analysis should not only answer the questions posed but also raise new questions.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

The ultimate aim of statistical methods is to extract information from data.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

The role of statistics is to provide a methodology for the interpretation of data.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

In the absence of a model, data are just numbers without meaning.

C·R·拉奥

统计学家，抽样理论与统计推断贡献者

统计学的任务是通过观察和实验来收集数据，然后利用这些数据对未知的或不确定的事物作出推断。

许宝騄

抽样调查和统计推断领域的奠基人

抽样调查的精髓在于用最少的数据获取最大的信息量。

许宝騄

抽样调查和统计推断领域的奠基人

The theory of probability is the only tool we have to deal with uncertainty.

许宝騄

抽样调查和统计推断领域的奠基人

统计推断的基础是概率论，没有概率论就没有科学的统计推断。

许宝騄

抽样调查和统计推断领域的奠基人

统计学的任务是从数据中提取信息，而信息的提取依赖于对数据的正确理解和处理。

许宝騄

抽样调查和统计推断领域的奠基人

🎲 随机 · 灵感闪现 ✨ 名言如星，拾光而行