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|a 1148104673
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|a 9781119303343
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|a 1119303346
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|a (OCoLC)995782225
|z (OCoLC)1148104673
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|a QA279
|b .H57 2017
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|a 519.5/38
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|a UAMI
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|a Hirotsu, Chihiro.
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|a Advanced Analysis of Variance (AANOVA).
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| 260 |
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|a Somerset :
|b John Wiley & Sons, Incorporated,
|c 2017.
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| 300 |
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|a 1 online resource (435 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Print version record.
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|a Title Page ; Copyright Page ; Contents; Preface; Notation and Abbreviations; Chapter 1 Introduction to Design and Analysis of Experiments; 1.1 Why Simultaneous Experiments? ; 1.2 Interaction Effects ; 1.3 Choice of Factors and Their Levels ; 1.4 Classification of Factors ; 1.5 Fixed or Random Effects Model? ; 1.6 Fisherś Three Principles of Experiments vs. Noise Factor ; 1.7 Generalized Interaction ; 1.8 Immanent Problems in the Analysis of Interaction Effects ; 1.9 Classification of Factors in the Analysis of Interaction Effects.
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|a 1.10 Pseudo Interaction Effects (Simpsonś Paradox) in Categorical Data 1.11 Upper Bias by Statistical Optimization ; 1.12 Stage of Experiments: Exploratory, Explanatory or Confirmatory? ; References; Chapter 2 Basic Estimation Theory; 2.1 Best Linear Unbiased Estimator ; 2.2 General Minimum Variance Unbiased Estimator ; 2.3 Efficiency of Unbiased Estimator ; 2.4 Linear Model ; 2.5 Least Squares Method ; 2.5.1 LS method and BLUE ; 2.5.2 Estimation space and error space ; 2.5.3 Linear constraints on parameters for solving the normal equation ; 2.5.4 Generalized inverse of a matrix.
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|a 2.5.5 Distribution theory of the LS estimator 2.6 Maximum Likelihood Estimator ; 2.7 Sufficient Statistics ; References; Chapter 3 Basic Test Theory ; 3.1 Normal Mean ; 3.1.1 Setting a null hypothesis and a rejection region ; 3.1.2 Power function ; 3.1.3 Sample size determination ; 3.1.4 Nuisance parameter ; 3.1.5 Non-parametric test for median ; 3.2 Normal Variance; 3.2.1 Setting a null hypothesis and a rejection region; 3.2.2 Power function ; 3.3 Confidence Interval ; 3.3.1 Normal mean ; 3.3.2 Normal variance ; 3.4 Test Theory in the Linear Model ; 3.4.1 Construction of F-test.
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|a 3.4.2 Optimality of F-test3.5 Likelihood Ratio Test and Efficient Score Test ; 3.5.1 Likelihood ratio test ; 3.5.2 Test based on the efficient score ; 3.5.3 Composite hypothesis ; References; Chapter 4 Multiple Decision Processes and an Accompanying Confidence Region ; 4.1 Introduction ; 4.2 Determining the Sign of a Normal Mean -- Unification of One- and Two-Sided Tests ; 4.3 An Improved Confidence Region ; Reference; Chapter 5 Two-Sample Problem ; 5.1 Normal Theory ; 5.1.1 Comparison of normal means assuming equal variances ; 5.1.2 Remark on the unequal variances; 5.1.3 Paired sample.
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|a 5.1.4 Comparison of normal variances 5.2 Non-parametric Tests ; 5.2.1 Permutation test; 5.2.2 Rank sum test ; 5.2.3 Methods for ordered categorical data ; 5.3 Unifying Approach to Non-inferiority, Equivalence and Superiority Tests ; 5.3.1 Introduction ; 5.3.2 Unifying approach via multiple decision processes ; 5.3.3 Extension to the binomial distribution model ; 5.3.4 Extension to the stratified data analysis ; 5.3.5 Meaning of non-inferiority test and a rationale of switching to superiority test ; 5.3.6 Bio-equivalence ; 5.3.7 Concluding remarks ; References.
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| 500 |
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|a Chapter 6 One-Way Layout, Normal Model.
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| 504 |
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|a Includes bibliographical references and index.
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 650 |
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0 |
|a Analysis of variance.
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| 650 |
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6 |
|a Analyse de variance.
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| 650 |
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|a Analysis of variance
|2 fast
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| 776 |
0 |
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|i Print version:
|a Hirotsu, Chihiro.
|t Advanced Analysis of Variance (AANOVA).
|d Somerset : John Wiley & Sons, Incorporated, ©2017
|z 9781119303336
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| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4923784
|z Texto completo
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|a ProQuest Ebook Central
|b EBLB
|n EBL4923784
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| 994 |
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|a 92
|b IZTAP
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