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Foundations of applied statistical methods

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Foundations of applied statistical methods/ by Hang Lee.
作者:	Lee, Hang.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	x, 187 p. :illustrations, digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Statistics. -
電子資源:	https://doi.org/10.1007/978-3-031-42296-6
ISBN:	9783031422966

Foundations of applied statistical methods
Lee, Hang.

Foundations of applied statistical methods[electronic resource] /by Hang Lee. - Second edition. - Cham :Springer International Publishing :2023. - x, 187 p. :illustrations, digital ;24 cm.

Warming Up-Descriptive Statistics and Essential Probability Models -- Statistical Inference Focusing on a Single Mean or Proportion -- Inference Using t-tests for Comparing Two Means -- Inference Using Analysis of Variance for Comparing Multiple Means -- Inference Using Correlation and Regression -- Normal Distribution Assumption Free Non-Parametric Inference -- Methods for Censored Survival Time Data Analysis and Inference -- Sample Size Determination for Inference -- Review Exercise Problems -- Probability of Standard Normal Distribution -- Percentiles of t-Distributions -- Upper 95th and 99th Percentiles of Chi-square Distributions -- Upper 95th Percentiles of F-Distributions -- Upper 99th Percentiles of F-Distributions -- Sample Sizes for Independent Samples t-tests (normal approximation) -- Index.

This book covers methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply it to applicable scenarios without over-emphasis on the technical aspects. Demonstrations are a very important part of this text. Mathematical expressions are exhibited only if they are defined or intuitively comprehensible. This text may be used as a guidebook for applied researchers or as an introductory statistical methods textbook for students, not majoring in statistics. Discussion includes essential probability models, inference of means, proportions, correlations and regressions, methods for censored survival time data analysis, and sample size determination.

ISBN: 9783031422966

Standard No.: 10.1007/978-3-031-42296-6doiSubjects--Topical Terms:

556824
Statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

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505 0 $a Warming Up-Descriptive Statistics and Essential Probability Models -- Statistical Inference Focusing on a Single Mean or Proportion -- Inference Using t-tests for Comparing Two Means -- Inference Using Analysis of Variance for Comparing Multiple Means -- Inference Using Correlation and Regression -- Normal Distribution Assumption Free Non-Parametric Inference -- Methods for Censored Survival Time Data Analysis and Inference -- Sample Size Determination for Inference -- Review Exercise Problems -- Probability of Standard Normal Distribution -- Percentiles of t-Distributions -- Upper 95th and 99th Percentiles of Chi-square Distributions -- Upper 95th Percentiles of F-Distributions -- Upper 99th Percentiles of F-Distributions -- Sample Sizes for Independent Samples t-tests (normal approximation) -- Index.
520 $a This book covers methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply it to applicable scenarios without over-emphasis on the technical aspects. Demonstrations are a very important part of this text. Mathematical expressions are exhibited only if they are defined or intuitively comprehensible. This text may be used as a guidebook for applied researchers or as an introductory statistical methods textbook for students, not majoring in statistics. Discussion includes essential probability models, inference of means, proportions, correlations and regressions, methods for censored survival time data analysis, and sample size determination.
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