LEADER 03933oam 2200457I 450 001 9911019984103321 005 20230629234213.0 010 $a9781119549819 010 $a1119549817 010 $a9781119549826 010 $a1119549825 010 $a9781119549833 010 $a1119549833 035 $a(CKB)4100000010870950 035 $a(OCoLC)1198924977 035 $a(Perlego)1812768 035 $a(EXLCZ)994100000010870950 100 $a20210112d2021 uy 0 101 0 $aeng 135 $aurgz#---muuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvidence-based statistics $ean introduction to the evidential approach from likelihood principle to statistical practice /$fPeter M.B. Cahusac 210 1$aHoboken, NJ :$cWiley,$d[2021] 215 $a1 online resource 311 1 $a9781119549802 311 1 $a1119549809 320 $aIncludes bibliographical references and index. 327 $aThe Evidence is the Evidence -- The Evidential Approach -- Two Samples -- ANOVA -- Correlation and Regression -- Categorical Data -- Nonparametric Analyses -- Other Useful Techniques -- Orthogonal Polynomials -- Occam's Bonus -- Problems with p Values. 330 8 $aEvidence-Based Statistics: An Introduction to the Evidential Approach - from Likelihood Principle to Statistical Practice provides readers with a comprehensive and thorough guide to the evidential approach in statistics. The approach uses likelihood ratios, rather than the probabilities used by other statistical inference approaches. The evidential approach is conceptually easier to grasp, and the calculations more straightforward to perform. This book explains how to express data in terms of the strength of statistical evidence for competing hypotheses. The evidential approach is currently underused, despite its mathematical precision and statistical validity. Evidence-Based Statistics is an accessible and practical text filled with examples, illustrations and exercises. Additionally, the companion website complements and expands on the information contained in the book. While the evidential approach is unlikely to replace probability-based methods of statistical inference, it provides a useful addition to any statistician's "bag of tricks." In this book: * It explains how to calculate statistical evidence for commonly used analyses, in a step-by-step fashion * Analyses include: t tests, ANOVA (one-way, factorial, between- and within-participants, mixed), categorical analyses (binomial, Poisson, McNemar, rate ratio, odds ratio, data that's 'too good to be true', multi-way tables), correlation, regression and nonparametric analyses (one sample, related samples, independent samples, multiple independent samples, permutation and bootstraps) * Equations are given for all analyses, and R statistical code provided for many of the analyses * Sample size calculations for evidential probabilities of misleading and weak evidence are explained * Useful techniques, like Matthews's critical prior interval, Goodman's Bayes factor, and Armitage's stopping rule are described Recommended for undergraduate and graduate students in any field that relies heavily on statistical analysis, as well as active researchers and professionals in those fields, Evidence-Based Statistics: An Introduction to the Evidential Approach - from Likelihood Principle to Statistical Practice belongs on the bookshelf of anyone who wants to amplify and empower their approach to statistical analysis. 606 $aMathematical statistics 606 $aMathematical statistics$2fast$3(OCoLC)fst01012127 615 0$aMathematical statistics. 615 7$aMathematical statistics. 676 $a519.5 700 $aCahusac$b Peter$f1957-$01604492 906 $aBOOK 912 $a9911019984103321 996 $aEvidence-based statistics$94417172 997 $aUNINA LEADER 03905nam 22005535 450 001 9910416139203321 005 20200831155222.0 010 $a9781484256145 010 $a148425614X 024 7 $a10.1007/978-1-4842-5614-5 035 $a(CKB)4100000011406373 035 $a(MiAaPQ)EBC6326370 035 $a(DE-He213)978-1-4842-5614-5 035 $a(CaSebORM)9781484256145 035 $a(PPN)250217287 035 $a(OCoLC)1204240600 035 $a(OCoLC)on1204240600 035 $a(EXLCZ)994100000011406373 100 $a20200831d2020 u| 0 101 0 $aeng 135 $aurcn| ||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractical Smart Device Design and Construction $eUnderstanding Smart Technologies and How to Build Them Yourself /$fby Christopher Harrold 205 $a1st ed. 2020. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2020. 215 $a1 online resource (436 pages) 311 08$a9781484256138 311 08$a1484256131 327 $aPart 1: Smart -- Chapter 1: A Brief History of Smart Things -- Chapter 2: The DYI Smart Era -- Chapter 3: Beyond the Hype: Smart Today and Tomorrow -- Part 2: Smart Hardware -- Chapter 4: EE for the total n00b -- Chapter 5: Advanced Circuit Components -- Chapter 6: Circuit Building Lab -- Part 3: Smart Software -- Chapter 7: Touch, Taste, See, Hear, Smell -- Chapter 8: The Small Computer -- Chapter 9: Smart Device Building Lab -- Part 4: Performance -- Chapter 10: Smart System Building Lab -- Chapter 11: Your First Good PCB. 330 $aWith the rapid development of the Internet of Things, a gap has emerged in skills versus knowledge in an industry typically segmented into hardware versus software. Practitioners are now expected to possess capabilities across the spectrum of hardware and software skills to create these smart devices. This book explores these skill sets in an instructive way, beginning at the foundations of what makes ?smart? technology smart, addressing the basics of hardware and hardware design, software, user experiences, and culminating in the considerations and means of building a fully formed smart device, capable of being used in a commercial capacity, versus a DIY project. Practical Smart Device Design and Construction includes a set of starter projects designed to encourage the novice to build and learn from doing. Each project also includes a summary guiding you where to go next, and how to tie the practical, hands-on experience together with what they have learned to take the next step on their own. You will: Review practical smart device design and construction considerations such as size, power consumption, wiring needs, analog vs digital, and sensor types and uses Examine methods and tools for creating your own designs such as circuit board designs, and wiring and prototyping tools Receive hands-on guidance while building your own prototype projects Determine software needs for speed versus ease, security, and basics of programming and data analytics for smart devices. 606 $aComputer networks 606 $aComputer input-output equipment 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aHardware and Maker$3https://scigraph.springernature.com/ontologies/product-market-codes/I29010 615 0$aComputer networks. 615 0$aComputer input-output equipment. 615 14$aComputer Communication Networks. 615 24$aHardware and Maker. 676 $a621.39 700 $aHarrold$b Christopher$4aut$4http://id.loc.gov/vocabulary/relators/aut$091895 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910416139203321 996 $aPractical Smart Device Design and Construction$91959996 997 $aUNINA