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Statistical Methods in Molecular Evolution | Rasmus Neilsen | 1st Edition | New Age International Publication ( English Medium )
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| 629-795 |
[Shipping Cost = Standard Mode, Expedite Mode]
Statistical Methods in Molecular Evolution | Rasmus Neilsen | 1st Edition | New Age International Publication ( English Medium )
"Statistical Methods in Molecular Evolution" by Rasmus Neilsen is a comprehensive guide to the statistical techniques used in the field of molecular evolution. This book, now in its 1st edition and published by New Age International Publication, is designed for students and researchers interested in understanding the evolutionary processes at the molecular level.
The book covers various statistical methods that are essential for analyzing genetic data and making inferences about evolutionary relationships. It provides a detailed explanation of concepts such as phylogenetic inference, molecular clock dating, population genetics, and more. The author, Rasmus Neilsen, is a renowned expert in the field of molecular evolution and brings his expertise to this book.
This English medium book is suitable for both beginners and advanced readers who want to delve deeper into the statistical methods used in molecular evolution. It includes practical examples and exercises to help readers apply these techniques to real-world data sets. The clear and concise explanations make complex concepts easy to understand, making this book an invaluable resource for anyone studying or working in the field of molecular evolution.
Whether you are a student looking to learn more about statistical methods in molecular evolution or a researcher seeking to enhance your analytical skills, "Statistical Methods in Molecular Evolution" is a must-have addition to your library.
Search Keywords - Statistical methods in molecular evolution, Rasmus Neilsen books, Molecular evolution techniques, New Age International Publication books, Phylogenetic inference, Molecular clock dating, Population genetics analysis, Genetic data analysis, Evolutionary relationships analysis, Statistical methods for genetic data, Molecular evolution research methods, Understanding evolutionary processes, Analyzing genetic data sets, Applying statistical techniques to molecular evolution, Best books on molecular evolution statistics, Beginner's guide to statistical methods in molecular evolution, Advanced techniques for analyzing genetic data, Molecular biology statistics, Genetics research methods, Evolutionary biology textbooks
Product Details
| SKU / BOOK Code: | NewAge-Stat-Meth-Mol-Evo(E) |
| Publisher: | New Age International Publishers |
| Author: | Rasmus Neilsen |
| Binding Type: | Paperback |
| No. of Pages: | 508 |
| ISBN-10: | 81-8128-610-9 |
| ISBN-13: | 978-81-8128-610-9 |
| Edition: | 1st Edition |
| Language: | English Medium |
| Publish Year: | 2026-07 |
| Weight (g): | 400 |
| Product Condition: | New |
| Reading Age: | Above 18 Years |
| Country of Origin: | India |
| Genre: | Textbooks & Study Guides |
| Manufacturer: | New Age International Publishers |
| Importer: | New Age International Publishers |
| Packer: | Fullfilled by Supplier |
Product Description
Statistical Methods in Molecular Evolution | Rasmus Neilsen | 1st Edition | New Age International Publication ( English Medium )
"Statistical Methods in Molecular Evolution" by Rasmus Neilsen is a comprehensive guide to the statistical techniques used in the field of molecular evolution. This book, now in its 1st edition and published by New Age International Publication, is designed for students and researchers interested in understanding the evolutionary processes at the molecular level.
The book covers various statistical methods that are essential for analyzing genetic data and making inferences about evolutionary relationships. It provides a detailed explanation of concepts such as phylogenetic inference, molecular clock dating, population genetics, and more. The author, Rasmus Neilsen, is a renowned expert in the field of molecular evolution and brings his expertise to this book.
This English medium book is suitable for both beginners and advanced readers who want to delve deeper into the statistical methods used in molecular evolution. It includes practical examples and exercises to help readers apply these techniques to real-world data sets. The clear and concise explanations make complex concepts easy to understand, making this book an invaluable resource for anyone studying or working in the field of molecular evolution.
Whether you are a student looking to learn more about statistical methods in molecular evolution or a researcher seeking to enhance your analytical skills, "Statistical Methods in Molecular Evolution" is a must-have addition to your library.
Search Keywords - Statistical methods in molecular evolution, Rasmus Neilsen books, Molecular evolution techniques, New Age International Publication books, Phylogenetic inference, Molecular clock dating, Population genetics analysis, Genetic data analysis, Evolutionary relationships analysis, Statistical methods for genetic data, Molecular evolution research methods, Understanding evolutionary processes, Analyzing genetic data sets, Applying statistical techniques to molecular evolution, Best books on molecular evolution statistics, Beginner's guide to statistical methods in molecular evolution, Advanced techniques for analyzing genetic data, Molecular biology statistics, Genetics research methods, Evolutionary biology textbooks
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Selling Price & Shipping Fee: In Product details page we have clearly mentioned the Selling Price & Shipping Fees separately, So, when you click on "BUY NOW" You will be charges Selling Price + Shipping Fees. The Shipping fees may different for each products depends on the weight of the Product. The shipping cost includes the courier charges, packaging charges, transport charges, fuel charges and other charges. Sometimes the total payable amount may be different for Instamojo Payment Gateway. Buyers are requested to check before purchasing the products. After making the purchase we may not allow or consider users to modify.
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