Newly revised to specifically address Microsoft Excel 2019, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science pro...
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ISBN:
(数字)9783030392819
ISBN:
(纸本)9783030392802
Newly revised to specifically address Microsoft Excel 2019, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems. Excel is an effective learning tool for quantitative analyses in biological and life sciences courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past.;capitalizes on these improvements by teaching students and professionals how to apply Excel 2019 to statistical techniques necessary in their courses and work.
This handy reference book detailing the intricacies of R covers version 4.x features, including numerous and significant changes to syntax, strings, reference counting, grid units, and more.;Starting with the basic st...
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ISBN:
(数字)9781484279243
ISBN:
(纸本)9781484279236
This handy reference book detailing the intricacies of R covers version 4.x features, including numerous and significant changes to syntax, strings, reference counting, grid units, and more.;Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. Some of the new material includes information on RStudio, S4 syntax, working with character strings, and an example using the Twitter API.;With a copy of the;in hand, you will find that you are able to use the multitude of functions available in R and are even able to write your own functions to explore and analyze data.;Those with programming experience, either new to R, or those with at least some exposure to R but who are new to the latest version.
Das Buch bietet eine Einführung in die beschreibende und schließende Statistik, sowie in die Wahrscheinlichkeitsrechnung. Die Methoden der Statistik werden dabei nicht nur beschrieben, sondern auch in EXCEL ...
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ISBN:
(数字)9783790816662
Das Buch bietet eine Einführung in die beschreibende und schließende Statistik, sowie in die Wahrscheinlichkeitsrechnung. Die Methoden der Statistik werden dabei nicht nur beschrieben, sondern auch in EXCEL und SPSS umgesetzt. Zahlreiche Beispiele sind mit vollständigem Lösungsweg angeführt und zeigen darüber hinaus, welche Erkenntnisse aus diesen Lösungen entnommen werden können. Weitere Übungsbeispiele mit Lösungen ergänzen die Darstellung, daher ist dieses Buch auch gut zum Selbststudium geeignet. Wesentliche Aspekte sind in übersichtlichen Merkboxen zusammengefasst, um die Lesbarkeit zu erhöhen und zusätzlich den Zweck als Nachschlagewerk zu erfüllen. Das Buch richtet sich an alle LeserInnen, die einen leicht verständlichen und anwendungsorientierten Einstieg in die Statistik suchen.
This work is a collection of front-end research papers on data fusion and perceptions. Authors are leading European experts of Artificial Intelligence, Mathematical statistics and/or Machine Learning. Area overlaps wi...
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ISBN:
(数字)9783709125809
ISBN:
(纸本)9783211836835
This work is a collection of front-end research papers on data fusion and perceptions. Authors are leading European experts of Artificial Intelligence, Mathematical statistics and/or Machine Learning. Area overlaps with "Intelligent Data Analysis”, which aims to unscramble latent structures in collected data: Statistical Learning, Model Selection, Information Fusion, Soccer Robots, Fuzzy Quantifiers, Emotions and Artifacts.
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