This classic book uses words and diagrams, rather than formulas and equations, to help readers understand what statistics is, and how to think statistically. It focuses on the ideas behind statistics only; readers are not required to perform any calculations.

Causality is central to the understanding and use of data. Without an understanding of cause effect relationships, we cannot use data to answer questions as basic as, “Does this treatment harm or help patients?” But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding...(展开全部)

Here is an introductory textbook which is designed to be useful not only to intending logicians but also to mathematicians in general. Based on Dr Hamilton's lectures to third and fourth year undergraduate mathematicians at the University of Stirling it has been written to introduce student or professional mathematicians, whose background need cover no more than a typical first...(展开全部)

The book starts with an elementary introduction to formal languages appealing to the intuition of working mathematicians and unencumbered by philosophical or normative prejudices such as those of constructivism or intuitionism. It proceeds to the Proof Theory and presents several highlights of Mathematical Logic of 20th century: Gödel's and Tarski's Theorems, Cohen's Theorem on...(展开全部)

MPI für Mathematik, Bonn, Germany Yu. I. Manin

Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It...(展开全部)

Taking a jargon-free approach, this guidebook introduces the basic principles of statistics to archaeologists. The author covers the necessary techniques for analyzing data collected in the field and laboratory as well as for evaluating the significance of the relationships between variables. In addition, chapters discuss the special concerns of working with samples. This well-...(展开全部)

周南（Robert D.Drennan） 生于1947年，美国国家科学院院士\匹兹堡大学人类学系杰出教授，曾获得世界考古学论坛重大考古研究成果奖、美洲考古学会会长奖和拉美与加勒比地区考古杰出奖。 周南教授本科毕业于普林斯顿大学艺术与考古系，硕博毕业于密歇根大学考古系。在读博期间，周南教授师从肯特.弗兰纳瑞教授学习新考古学。周南教授的研究方向为社会复杂化、量化方法在考古学中的应用、比较考古学和家户考古等。 周南曾在北美洲、中美洲和南美洲地区进行考古工作，是哥伦比亚新考古学的开创者，曾获得哥伦比亚安第斯大学荣誉博士。 从1996年至今，周南教授和吉林大学、中国人民大学、内蒙古自治区考古所和辽宁省考古所等单位合作，在内蒙古和辽宁等地开展早期社会复杂化研究。

Taking a jargon-free approach, this guidebook introduces the basic principles of statistics to archaeologists. The author covers the necessary techniques for analyzing data collected in the field and laboratory as well as for evaluating the significance of the relationships between variables. In addition, chapters discuss the special concerns of working with samples. This well-...(展开全部)