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)

In the decade since its publication, the first edition of Statistics for Archaeologists has become a staple in the classroom. Taking a jargon-free approach, this teaching tool 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 significa...(展开全部)

Praise from students for Neil Salkind's Statistics for People Who (Think They) Hate Statistics: "Your book has changed my perception and attitude towards statistics. It is very well written, the language is completely user friendly and the progression of new concepts within each chapter is fantastic. Although my class is only on chapter 5 at this point, I have found my interest...(展开全部)

This book is intended for those developers who are willing to enter the field of data science and are looking for concise information of statistics with the help of insightful programs and simple explanation. Some basic hands on R will be useful.

Now in its Seventh Edition, Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS®, the authors guide students through basic and advanced statistical procedures, from...(展开全部)

This book is intended for developers with little to no background in statistics, who want to implement Machine Learning in their systems. Some programming knowledge in R or Python will be useful.

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide—now including examples in Python as well as R—explains how to apply various statistical methods to data science, tells you how to avo...(展开全部)

Discover how the most trusted approach to statistics today is Simply Powerful with the latest market-leading text from respected authors Anderson/Sweeney/Williams. STATISTICS FOR BUSINESS AND ECONOMICS, 11e introduces sound statistical methodology within a strong applications setting. The authors clearly demonstrate how statistical results provide insights into business decisio...(展开全部)