flatworms trematodes see table 29 1
Chapter 6 The Single Index Model and Bivariate Regression
... than IBM 14 Monthly Returns on IBM Monthly Returns on Market Index 12 30 10 25 20 15 10 0 -0 .15 -0 .10 -0.05 0.00 0.05 0 .10 0 .15 -0.2 -0 .1 0.0 Series: IBM Sample 19 78: 01 1987 :12 Observations 12 0 Series: ... (the estimated residual data) ε 18 Market Model Regression for IBM 0.2 0 .1 0.0 0 .15 0 .10 -0 .1 0.05 -0.2 0.00 -0.05 -0 .10 -0 .15 19 78 19 79 19 80 Residual 19 81 Actual 19 82 Fitted Figure Notice that ... x1 ( 1 + β 1, M RMt + ε1t ) + x2 (α2 + β 2,M RMt + ε2t ) (x1 1 + x2 α2 ) + (x1 β 1, M + x2 β 2,M )RMt + (x1 ε1t + x2 ε2t ) αp + β p,M RMt + εpt where αp = x1 1 + x2 α2 , β p,M = x1 β 1, M + x2 β...
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Tài liệu Kinh tế ứng dụng_ Lecture 3: Outliers, Leverage and Influence docx
... Regression Y X1 Y X2 Y X3 Y X4 8.04 10 9 .14 10 7.46 10 6.58 6.95 8 .14 6.77 5.76 7.58 13 8.74 13 12 .74 13 7. 71 8. 81 8.77 7 .11 8 8.33 11 9.26 11 7. 81 11 8.47 9.96 14 8 .1 14 8.84 14 7.04 7.24 6 .13 6.08 ... 5.25 4.26 3 .1 5.39 12 .5 19 10 .84 12 9 .13 12 8 .15 12 5.56 4.82 7.26 6.42 7. 91 5.68 4.74 5.73 6.89 3) The identification of outliers in univariate analysis Using the data file LEACCESS.WK1, identify ... by 1/ n (no leverage) and (extremely Leverage leverage); values above 0.5 indicate excessive leverage and values over 0.2 indicate the observation may give i =1 problems DFBETA DFBETAi = 1 − β1...
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Tài liệu Báo cáo khoa học: "Fast and Robust Part-of-Speech Tagging Using Dynamic Model Selection" pptx
... fi±{0 ,1, 2,3} , (mi−2,i 1 ), (mi 1, i ), (mi 1, i +1 ), (mi,i +1 ), (mi +1, i+2 ), (mi−2,i 1, i ), (mi 1, i,i +1 ), (mi,i +1, i+2 ), (mi−2,i 1, i +1 ), (mi 1, i +1, i+2 ) pi−{3,2 ,1} , ai+{0 ,1, 2,3} , (pi−2,i 1 ), ... ai+{0 ,1, 2,3} , (pi−2,i 1 ), (ai +1, i+2 ), (pi 1 , ai +1 ), (pi−2 , pi 1 , ), (pi−2 , pi 1 , ai +1 ), (pi 1 , , ai +1 ), (pi 1 , ai +1 , ai+2 ) c :1 , c:2 , c:3 , cn: , cn 1: , cn−2: , cn−3: initial uppercase, ... Søgaard, 2 011 ) a Source Sentences All tokens Unknown tokens BC MSNBC 2,076 31, 704 3,077 BN CNN 1, 969 31, 328 1, 284 CN Mipacq 3 ,17 0 35,7 21 6,077 MD Medpedia 1, 850 34,022 4,755 MZ Sinorama 1, 409 32 ,12 0...
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Báo cáo khoa học: "A Bag of Useful Techniques for Efficient and Robust Parsing" ppt
... time first time overall German 510 6 40.9 10 24 5.8 1. 46 s 4.53 s English 12 61 6.7 25.6 234 12 .4 0.24 s 1. 38 s Japanese 19 17 7.2 69.8 565 53.6 0.9 s 4.42 s In the table, the last six rows are average ... Roger Nasr 19 89 Efficient implementation of lattice operations A CM Transactions on Programming Languages and Systems, 11 (1) :11 5 -14 6, January Rolf Backofen and Hans-Ulrich Krieger 19 93 The TD£///D/A/'e ... ACL-85, pages 14 5 -15 2 Hideto Tomabechi 19 91 Quasi-destructive graph unification In Proceedings of the 29th Annual Meeting of the Association for Computational Linguistics, volume 29, pages 315 322 Hans...
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design of simple and robust process plants
... 416 The Design of High-quality Plants 417 Work Processes 418 Quality Aspects of a Design: VIPs 424 10 .1 10.2 10 .2 .1 10.2.2 10 .2.3 10 .2.4 10 .2.5 10 .3 10 .3 .1 10.3.2 11 11 .1 11. 2 11 .3 11 .4 11 .4 .1 ... 11 11 .1 11. 2 11 .3 11 .4 11 .4 .1 11. 4.2 11 .4.3 11 .4.4 11 .4.5 11 .5 11 .6 11 .7 11 .8 11 .9 An Overview: Design of Simple and Robust Process Plants 4 41 Design Philosophies 4 41 Ten Design Philosophies to ... 3-527 -297 84-7 (Hardback); 3-527-60047-7 (Electronic) Contents Foreword Preface XIII XV Acknowledgments 1. 1 1. 2 1. 3 1. 3 .1 1.3.2 Introduction XVII 1. 3.3 1. 3.4 1. 3.5 1. 3.6 1. 3.7 1. 3.8 1. 3.9 1. 3 .10 1. 4...
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báo cáo sinh học:" Workforce analysis using data mining and linear regression to understand HIV/AIDS prevalence patterns" pdf
... density> 43.66 15 1/5= 30.3 0 .1/ 1 = 0 .1 yes no yes no Nursing density> 229 21. 5 /1= 21. 5 8.6 /10 =0.86 yes Physician density > 69 /10 0 000 no yes Physician density > 10 6 22.9/70=0.33 12 .3/9 =1. 36 yes Figure ... the attention of health care worker http://www.human-resources-health.com/content/6 /1/ 2 10 11 12 13 14 15 16 Smith BL, Scherer WT, Hauser TA: Data mining tools for the support of traffic signal ... (% of adults ages 15 to 49 with HIV) Δ Female literacy (%) Physician density (# per 10 0 000) Nurse density (# per 10 0 000) 38.8 38.8 28.9 0.6 10 7 .1 37.3 38.8 24.6 1. 5 10 2.2 -1. 5 -4.3 0.9 -4.9...
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home energynmanagement problem towards an optimal and robust solution
... Energy(Kwh Temp (°C) 23,5 21, 5 21, 0 Energy(Kwh 20,5 1, 5 2,5 2,0 1, 5 1, 0 1, 0 0,5 0,5 0,0 10 12 14 16 18 20 22 0,0 24 10 Time (h) T indoor T wall Energy Consumption 14 16 18 20 22 24 16 18 20 22 24 Produced ... 22,0 1, 75 21, 5 Energy(Kwh Temp (°C) 22,5 Energy(Kwh 21, 0 1, 25 1, 00 0,75 1, 0 0,50 0,5 0,0 1, 50 0,25 10 12 14 16 18 20 22 0,00 24 10 Time (h) T indoor T wall Energy Consumption 14 16 18 20 22 24 16 ... Oven 1, 0 2,00 1, 75 0,5 1, 50 Energy(Kwh 0,0 2,0 Energy(kWh) 12 Time (h) 1, 5 1, 0 1, 25 1, 00 0,75 0,50 0,5 0,0 0,25 10 12 14 16 18 Time (h) Operation Energy Consumption 20 22 24 0,00 10 12 14 Time...
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Automatic spike sorting and robust power line interference cancellation for neural signal processing
... summarized as ˆ r1,k ( 1) = r1,k ( 1) = ˆk ( 1) = ck ( 1) = 0, b ˆ r1,k (n) = λa r1,k (n − 1) + uk (n)2 , r4,k (n) = λa r4,k (n − 1) + uk (n)2 , (2 .13 ) ˆk (n) = ˆk (n − 1) + uk (n)ek (n)/r1,k (n), b ... adjustable Chapter Power Line Interference Cancellation: Algorithm 13 Ω x(n) xd(n) BANDPASS FILTER / 1ST DIFFERENCE FREQUENCY ESTOMATOR 1 × Кk -1 Кk-2 Кk 1 1 К2 DISCRETE OSCILLATOR u1 К2 1 Ω ... with r1,k and r4,k , thus they can be neglected and Rk becomes a diagonal matrix This leads to simplified update equations as r1,k ( 1) = r1,k ( 1) = ˆk ( 1) = ck ( 1) = 0, b ˆ r1,k (n) = λa r1,k...
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An integrated process planning and robust fixture design system 1
... reported especially in this area are Kumar et al (19 92), Fuh et al (19 93), Ong and Nee (19 94, 19 96, 19 97, 19 98), Shirinzadeh (19 96), and Smith (19 96) Chapter Introduction Some of the problems of ... manufacturing (Ito et al., 19 88; Suzuki et al 19 88; Kingsly Jeba Singh, 2006) Shah (19 91) , Bronsvoort and Jansen (19 93), Salomons et al (19 93) and Subrahmanyam and Wozny (19 95), Han (19 96) and Han et al ... optimization and genetic algorithm are employed for the optimization processes in this study 1. 2 1. 2 .1 Background Fixture Design in the Integration of Design and Manufacturing Recently, many approaches...
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An integrated process planning and robust fixture design system 2
... classification scheme Kumar et al (19 92) Fuh et al (19 93) Rule/object-based Rational/rule-based Chou et al (19 94) Surface reasoning Roy and Sun (19 94) Ong and Nee (19 94, 19 96, 19 97, 19 98) Geometric reasoning ... Zhang et al (19 96) Huang et al (19 97) Wu and Chang (19 98) Zhang and Lin (19 99) Lin et al (19 99) Zhang et al (20 01) √ Tseng and Huang (2007) Hebbal and Mehta (2007) Zhang et al (19 99) Cai et al ... et al (19 94, 19 96, 19 97, 19 98, 2000) Zhang et al (19 95) General Approach Optimization Fuzzy sets theory Heuristic-based and numerical optimization Ong et al (2002) √ Boerma and Kals (19 88) Zhang...
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An integrated process planning and robust fixture design system 3
... surfaces, 3-2-1locating method is selected If the base surface is large, 4-2 -1- locating type can be selected If a cylinder fixturing feature is obtained, v-block locating is usually used Table 3 .1 Properties ... individual machining features and the fixturability of fixturing features (Ong and Nee, 19 94, 19 96, 19 97, 19 98) It must also be based on the availability and the specification of the machine tools ... fixturing features in case the extracted fixturing features are not sufficient It can be seen from Figure 1. 1 in Chapter that the fixturing features on a cast or forged part are usually holes and...
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An integrated process planning and robust fixture design system 4
... Approach Table 4.4 Constrained and constraining entities of the dimensional constraints Dimensional Constraints Hole1 d1 d2 Hole2 d3 d4 Hole3 d5 d6 Hole4 d7 d8 Hole5 d9 d10 Hole6 d 11 d10 Hole7 d12 d10 ... Plane1 TAD Face A d9 Face P1 d10, Tolerance Face G Hole5 TAD Face H d 11 Face P1 d10, Tolerance Face G Hole6 TAD Face H d12 Face P1 d10, Tolerance Face G Hole7 TAD Face H The fixturing features for ... X1 between faces A and B would cause inaccuracies in the position of the hole If the length X1 is oversized by 1mm, the centre of the hole will be at (X +1) mm away from face A If the length X1...
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An integrated process planning and robust fixture design system 5
... -13 5 -13 5 TOS Y X A A 0 +90 +45 B 0 -90 -90 Z B 0 +90 +90 C 0 0 C 0 0 Table 5.7 Cutter information Cutter No C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C 11 C12 CCP 3 3 10 10 12 12 15 ... procedure Table 5.2 Pheromone matrix at the machine tool level M1 M2 M3 … Mn M1 m12 m13 … m1n M2 m 21 m23 … m2n M3 m 31 m32 … m3n … … … … … Mn mn1 mn2 mn3 10 1 Chapter Optimal Set-up Planning Table ... instant 11 2 Chapter Optimal Set-up Planning Table 5 .11 Optimal set-up plan for case1 Optimal Set-up Plan Set-ups Feature Machine A B Set-up1 M5 C D E Cutter C 11 C5 C1 C1 C8 Datum Cost X/Y/Z 445 Table...
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An integrated process planning and robust fixture design system 6
... 45% ACO 11 55% t(s) 11 2.5 57.3 1st run N ratio 45% 11 55% 2nd run N ratio 35% 13 65% 3rd run N ratio 40% 12 60% Table 6.2 Results of iteration =10 0, p=20 Total Algorithm N ratio GA 25% ACO 15 75% ... 45% 11 55% 3rd run N ratio 35% 13 65% Table 6.5 Results of iteration =10 00, p=20 Total Algorithm N ratio GA 35% ACO 13 65% 1st run t(s) N ratio 25 61. 5 35% 10 67.8 13 65% 2nd run N ratio 45% 11 55% ... 267.9 14 3 1st run N ratio 25% 15 75% 2nd run N ratio 35% 13 65% 3rd run N ratio 30% 14 70% Table 6.3 Results of iteration=200, p=20 Total Algorithm N ratio GA 20% ACO 16 80% t(s) 540.8 319 .3 1st...
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An integrated process planning and robust fixture design system 7
... and eliminate the trial-and-error testing procedures typically used by the tooling engineers 7 .1. 2 Optimal Set-up Planning The optimal set-up planning approach developed in the process planning ... able to achieve an optimal set-up planning result by incorporating a cost model ACO is employed to 14 3 Chapter Conclusions and Future Works solve this NP-complete problem Parts can be produced within ... machine tools and the transport cost are taken into account, making the cost model more realistic 7 .1. 3 ACO is adopted to solve the NP-complete set-up planning problem Robust Fixture Layout Genetic...
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An efficient and robust algorithm for incompressible flow and its application in heat transfer enhancement
... algorithm……… 12 6 5.3 .1 Lid-driven flow in an inclined cavity……………………………… 12 8 5.3 .1. 1 Lid-driven flow at Re =10 0…………………………………… 12 9 5.3 .1. 2 Lid-driven flow at Re =10 00…………………………………… .13 0 5.3 .1. 3 Lid-driven ... 11 1 5 .1 General review of SIMPLE algorithm on curvilinear non-orthogonal coordinates…………………………………………………………………… .11 1 5.2 Mathematical formulation of CLEARER algorithm……………………… 11 6 5.2 .1 The ... = 300 Re =10 0………………… .14 1 Figure 5.9 Streamlines at inclined cavity at θ = 450 Re =10 0………………… .14 2 Figure 5 .10 Comparison of centerline velocity profiles at θ = 300 Re =10 0…… .14 2 Figure 5 .11 Comparison...
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Comprehensive modeling and robust nonlinear control of HDD servo systems
... 11 6 5 .10 Experimental results (r = 1 m) 11 7 5 .11 Simulation results (r = 10 µm) 11 8 5 .12 Experimental results (r = 10 µm) ... (2.33) y = C1 x + [ D1 ] w, ˜ in conformity with the structures of C1 and D1 in (2.32), i.e., ⎧ ⎤⎛ ⎞ ⎡ ⎤ ⎡ ⎪ ⎛x ⎞ ⎡A ⎪ x1 B1 E1 Ik 1 11 A12 ⎪ ⎪ ⎪⎝ ⎠=⎣ ⎦⎝ ⎠+⎣ ⎦u+⎣ ⎪ ⎪ ⎪ ⎪ x ⎪ ˙2 A 21 A22 x2 B2 ... control 13 8 6.9 Simulation results for r = 1 m: RPT control 14 0 6 .10 Simulation results for r = 1 m: CNF control 14 1 6 .11 Simulation results for r = 1 m: PID...
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Forecasting creditworthiness in retail banking a comparison of cascade correlation neural networks, CART and logistic regression scoring models
... 95.64 62.77 90.48 98 21 119 10 0 9.52 84.03 505 20 74 505 94 599 10 0 78.72 96.66 10 15 98 21 119 89.80 71. 43 86.56 485 10 20 84 505 94 599 96.04 89.36 94.99 LR CART CCNN Table 3: Comparing classification ... 93.75 80 18 12 407 73 480 10 0 97.26 99.58 98 19 G 397 10 407 97.54 B 69 73 94.52 T 480 97.08 Note: G is good; B is bad and T is total 88 Overall set T % G B % 98 21 119 81. 63 57 .14 77. 31 483 35 ... Private Union Bank of Africa UBA 5000 Foreign Private 99.99 00. 01 TOTAL = 12 Banks 876 51 16 27 15 21 128 branches TABLES Table 1: Variables used in building the scoring models Predictive variable...
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Efficient and robust audio fingerprinting
... magnitude spectrum X(k, n) and frequency 36 Chapter Feature Extraction Oct -1 C1 C #1 D1 D #1 E1 F1 F #1 G1 G #1 A1 A #1 B1 Oct-2 C2 C#2 D2 D#2 E2 F2 F#2 G2 G#2 A2 A#2 B2 Oct-3 C3 C#3 D3 D#3 E3 F3 ... indexed by a hash table The bit is assigned as H(n, m) = if E(n, m) − E(n, m + 1) − (E(n − 1, m) − E(n − 1, m + 1) ) > if E(n, m) − E(n, m + 1) − (E(n − 1, m) − E(n − 1, m + 1) ) ≤ where E(n, ... encouragements ii Table of Contents Acknowledgement ii Table of Contents iii Summary v Introduction 1. 1 Audio Fingerprinting 1. 2 Problems and Motivations 1. 3 Contributions 1. 4 Structure...
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Model Assessment and Selection in Multiple and Multivariate Regression
... Fixed-X case 1 , … , 𝑋𝑟 are fixed in repeated sampling and 𝑌 may be selected in the designed experiment or 𝑌 may be observed conditional on the 1 , … , 𝑋𝑟 𝒵= ⋮ 11 ⋮ 1 1 ⋯ 𝑋 1 ⋱ ⋮ - input ... foream, wrist (13 ) bodyfat = β0 + 1( age) + β2(weight) + β3(height) + β4(neck) + β5(chest) + β6(abdomen) + β7(hip) + β8(thigh) + β9(knee) + 10 (ankle) + 11 (biceps) + 12 (forearm) + 13 (wrist) + ... to a more general statistical context (18 97, 19 03) In 19 50s, 19 60s, economists used electromechanical desk calculators to calculate regressions Before 19 70, it sometimes took up to 24 hours to...
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Tìm thêm: xác định các mục tiêu của chương trình xác định các nguyên tắc biên soạn khảo sát các chuẩn giảng dạy tiếng nhật từ góc độ lí thuyết và thực tiễn khảo sát chương trình đào tạo gắn với các giáo trình cụ thể điều tra với đối tượng sinh viên học tiếng nhật không chuyên ngữ1 khảo sát thực tế giảng dạy tiếng nhật không chuyên ngữ tại việt nam nội dung cụ thể cho từng kĩ năng ở từng cấp độ xác định mức độ đáp ứng về văn hoá và chuyên môn trong ct phát huy những thành tựu công nghệ mới nhất được áp dụng vào công tác dạy và học ngoại ngữ mở máy động cơ lồng sóc mở máy động cơ rôto dây quấn các đặc tính của động cơ điện không đồng bộ hệ số công suất cosp fi p2 đặc tuyến hiệu suất h fi p2 đặc tuyến mômen quay m fi p2 đặc tuyến tốc độ rôto n fi p2 phần 3 giới thiệu nguyên liệu từ bảng 3 1 ta thấy ngoài hai thành phần chủ yếu và chiếm tỷ lệ cao nhất là tinh bột và cacbonhydrat trong hạt gạo tẻ còn chứa đường cellulose hemicellulose chỉ tiêu chất lượng theo chất lượng phẩm chất sản phẩm khô từ gạo của bộ y tế năm 2008 chỉ tiêu chất lượng 9 tr 25