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Titlebook: Essentials of Statistics for Scientists and Technologists; C. Mack Book 1966 C. Mack 1966 Mathematica.Scope.Variance.analysis of variance.

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書目名稱Essentials of Statistics for Scientists and Technologists
編輯C. Mack
視頻videohttp://file.papertrans.cn/316/315708/315708.mp4
圖書封面Titlebook: Essentials of Statistics for Scientists and Technologists; C. Mack Book 1966 C. Mack 1966 Mathematica.Scope.Variance.analysis of variance.
描述Statistics is of ever-increasing importance in Science and Technology and this book presents the essentials of the subject in a form suitable either as the basis of a course of lectures or to be read and/or used on its own. It assumes very little in the way of mathematical knowledge-just the ability to substitute numerically in a few simple formulae. However, some mathematical proofs are outlined or given in full to illustrate the derivation of the subject; these can be omitted without loss of understanding. The book does aim at making clear the scope and nature of those essential tests and methods that a scientist or technologist is likely to need; to this end each chapter has been divided into sections with their own subheadings and some effort has been made to make the text unambiguous (if any reader finds a misleading point anywhere I hope he will write to me about it). Also with this aim in view, the equality of probability to proportion of population is stated early, then the normal distribution and the taking of samples is discussed. This occupies the first five chapters. With the principles of these chapters understood, the student can immediately learn the significance tes
出版日期Book 1966
關(guān)鍵詞Mathematica; Scope; Variance; analysis of variance; boundary element method; correlation; derivation; equal
版次1
doihttps://doi.org/10.1007/978-1-4615-8615-9
isbn_softcover978-1-4615-8617-3
isbn_ebook978-1-4615-8615-9
copyrightC. Mack 1966
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https://doi.org/10.1007/978-3-8349-9076-1trictly speaking, any two properties that will specify a normal distribution are entitled to be called its parameters (for example, if we know the values of . + . and . - ., the distribution is specified, because the values of . and . would in fact, though not in appearance, be known; again, . and ., see Section 4.4, can act as parameters).
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