{"product_id":"modern-statistics-a-computer-based-approach-with-python-statistics-for-industry-technology-and-engineering","title":"Modern Statistics: A Computer-Based Approach with Python (Statistics for Industry, Technology, and Engineering)","description":"\u003ch3\u003eBook Details:\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor\u003c\/strong\u003e: Ron S. Kenett\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e: Birkhauser\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEdition\u003c\/strong\u003e: 1st ed. 2022\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eBinding\u003c\/strong\u003e: Paperback\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Import\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eNumber of Pages\u003c\/strong\u003e: 438\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eRelease Date\u003c\/strong\u003e: 05-10-2023\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEAN\u003c\/strong\u003e: 9783031075681\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePackage Dimensions\u003c\/strong\u003e: 9.3 x 6.1 x 1.1 inches\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eLanguages\u003c\/strong\u003e: English\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eAbout The Book:\u003c\/h3\u003e\n\u003cp\u003e\u003cem\u003eModern Statistics: A Computer-Based Approach with Python\u003c\/em\u003e offers an innovative and practical approach to modern statistics. The textbook is designed for a one- or two-semester advanced undergraduate or graduate course, with a special focus on integrating Python as both a pedagogical and practical tool. Drawing from years of teaching and research experience, the authors strike an ideal balance between theoretical foundations and hands-on applications.\u003c\/p\u003e\n\u003cp\u003eThe text begins by addressing core statistical concepts such as variability, probability models, and distribution functions. It progresses to introduce statistical inference, bootstrapping, multi-dimensional variability, and regression models. Further topics include sampling for finite population estimation, time series analysis, and modern data analytic methods.\u003c\/p\u003e\n\u003cp\u003eWhat sets this book apart is its comprehensive use of Python throughout. Numerous examples, case studies, and Python applications are provided in detail. A custom Python package, \u003cem\u003emistat\u003c\/em\u003e, is available for download, enabling students to reproduce the examples and explore additional exercises and applications.\u003c\/p\u003e\n\u003cp\u003eThis textbook is well-suited for courses in data science, industrial statistics, physical and social sciences, engineering, and any field requiring data analysis. In addition to its use in academia, it serves as a valuable resource for researchers, practitioners, and data scientists, offering numerous real-world applications.\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eModern Statistics\u003c\/em\u003e is complemented by a second book, \u003cem\u003eIndustrial Statistics: A Computer-Based Approach with Python\u003c\/em\u003e, which covers industrial topics such as statistical process control, experimental design, and reliability methods, including Bayesian approaches.\u003c\/p\u003e\n\u003ch3\u003eSpecial Features:\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eComprehensive coverage of core statistical concepts with a focus on Python.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eIncludes exercises, case studies, and applications to reinforce learning.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eCustom Python package available for download.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eIdeal for advanced undergraduate or graduate students, and useful for researchers and practitioners.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Birkhauser","offers":[{"title":"Default Title","offer_id":49932236718384,"sku":"Sarat_9783031075681","price":6720.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/birkhauser-book-default-title-modern-statistics-a-computer-based-approach-with-python-statistics-for-industry-technology-and-engineering-41262716584240.jpg?v=1775941582","url":"https:\/\/www.retailmaharaj.com\/bn\/products\/modern-statistics-a-computer-based-approach-with-python-statistics-for-industry-technology-and-engineering","provider":"Retail Maharaj","version":"1.0","type":"link"}