01267nam 2200337Ia 450 99639391830331620200824132741.0(CKB)4940000000116191(EEBO)2264193166(OCoLC)ocm11821536e(OCoLC)11821536(EXLCZ)99494000000011619119850319d1661 uy |engurbn||||a|bb|Short strictures or animadversions on so much of Mr. Croftons Fastning St Peters bonds, as concern the reasons of the University of Oxford concerning the covenant[electronic resource] /by Tho. Tomkins ..London Printed by E.C. for A. Seile1661[40], 151 pReproduction of original in Union Theological Seminary Library, New York.eebo-0160CovenantsEarly works to 1800CovenantsTomkins Thomas1637?-1675.1004573EAAEAAm/cWaOLNBOOK996393918303316Short strictures or animadversions on so much of Mr. Croftons Fastning St Peters bonds, as concern the reasons of the University of Oxford concerning the covenant2307738UNISA02732nam 22006732u 450 991067930680332120230617033955.097866102334581-280-23345-11-4237-8701-31-85418-411-3(CKB)1000000000032744(EBL)308923(OCoLC)299752277(SSID)ssj0000079257(PQKBManifestationID)11987465(PQKBTitleCode)TC0000079257(PQKBWorkID)10068180(PQKB)10841781(MiAaPQ)EBC308923(Au-PeEL)EBL308923(CaONFJC)MIL23345(OCoLC)70720518(EXLCZ)99100000000003274420100913d2005|||| u|| |engur|n|---|||||txtccr501 Questions and Answers for Company Directors and Company Secretaries[electronic resource]London Thorogood Publishing20051 online resource (322 p.)Description based upon print version of record.1-85418-345-1 1-85418-340-0 The author; Contents; Introduction; 1 Company fundamentals 1-36; 2 Company constitution 37-92; 3 Directors and Company Secretary 93-176; 4 Rights and duties of Directors 177-212; 5 Statutory registers and Companies House 213-269; 6 Shares, debentures and dividends 270-302; 7 Listed companies and corporate governance 303-324; 8 The elective regime, resolutions and notice 325-361; 9 Meetings 362-430; 10 Accounts and audit 431-460; 11 Financial difficulties, winding-up and striking off 461-501; Index; Update contact form; Covers various topics of relevance to the Company Secretary and Company Director. This work includes the changes in the law and practice. It is aimed at directors and company secretaries in both small and large companies, helping to avoid expensive mistakes and saving time and professional fees.Directors of corporationsBusinessLawManagementHILCCBusiness & EconomicsHILCCIndustrial ManagementHILCCDirectors of corporations.Business.Law.ManagementBusiness & EconomicsIndustrial Management346.410664Mason Roger539167AU-PeELAU-PeELAU-PeELBOOK9910679306803321501 Questions and Answers for Company Directors and Company Secretaries2560058UNINA05572nam 22007814a 450 991082394810332120200520144314.0978661027685197812802768591280276851978047035686904703568639780471733157047173315697804717331640471733164(CKB)1000000000355767(EBL)228498(OCoLC)475936401(SSID)ssj0000176491(PQKBManifestationID)11168703(PQKBTitleCode)TC0000176491(PQKBWorkID)10206512(PQKB)11274657(OCoLC)ocm56753633(MiAaPQ)EBC228498(Au-PeEL)EBL228498(CaPaEBR)ebr10114187(CaONFJC)MIL27685(OCoLC)232157560(Perlego)2762210(EXLCZ)99100000000035576720040930d2005 uy 0engur|n|---|||||txtccrImage processing and jump regression analysis /Peihua Qiu1st ed.Hoboken, N.J. John Wileyc20051 online resource (340 p.)Wiley series in probability and statistics"Wiley-Interscience."9780471420996 0471420999 Includes bibliographical references (p. 281-300) and index.Image Processing and Jump Regression Analysis; Contents; List of Figures; List of Tables; Preface; 1 Introduction; 1.1 Images and image representation; 1.1 A conventional coordinate system for expressing an image in industry.; 1.2 Regression curves and sugaces with jumps; 1.2 A log-transformed C-band, HH-polarization, synthetic aperture radar image of an area near Thetford forest, England.; 1.3 December sea-level pressures observed by a Bombay weather station in India during 1921-1992.; 1.3 Edge detection, image restoration, and jump regression analysis1.4 Statistical process control and some other related topics1.5 Organization of the book; Problems; 2 Basic Statistical Concepts and Conventional Smoothing Techniques; 2.1 Introduction; 2.2 Some basic statistical concepts and terminologies; 2.2.1 Populations, samples, and distributions; 2.1 Probability density curve of the standard normal distribution.; 2.2.2 Point estimation of population parameters; 2.2.3 Confidence intervals and hypothesis testing; 2.2.4 Maximum likelihood estimation and least squares estimation; 2.3 Nadaraya- Watson and other kernel smoothing techniques2.3.1 Univariate kernel estimators2.3.2 Some statistical properties of kernel estimators; 2.3.3 Multivariate kernel estimators; 2.4 Local polynomial kernel smoothing techniques; 2.4.1 Univariate local polynomial kernel estimators; 2.4.2 Some statistical properties; 2.2 The Nadaraya-Watson (NW) kernel estimator and the local linear kernel (LK) estimator.; 2.3 Behavior of the Nadaraya-Watson (NW) kernel estimator [plot (a)] and the local linear (LK) kernel estimator [plot (b)] of; 2.4.3 Multivariate local polynomial kernel estimators2.4 Behavior of the Nadaraya- Watson (NW) kernel estimator [plot (a)] and the local linear kernel (LK) estimator [plot (b)] o2.4.4 Bandwidth selection; 2.5 Spline smoothing procedures; 2.5.1 Univariate smoothing spline estimation; 2.5.2 Selection of the smoothing parameter; 2.5.3 Multivariate smoothing spline estimation; 2.5.4 Regression spline estimation; 2.5 Four B-splines when ti, tj+1,tj+2, tj+3, and tj+4 are 0, 0.25, 0.5, 0.75, and 1.0.; 2.6 Wavelet transformation methods; 2.6.1 Function estimation based on Fourier transformation; 2.6.2 Univariate wavelet transformations2.6 The Haar father wavelet, the Haar mother wavelet, the Haar wavelet function y1,0, and the Haar wavelet function y1,1.2.6.3 Bivariate wavelet transformations; Problems; 2.7 When f(x) and y(x) are the Haar father and mother wavelets, the two-dimensional wavelet functions F(x, y), Y(1)(x, y), Y(2)(x, y), and Y(3)(x, y) are displayed.; 3 Estimation of Jump Regression Curves; 3.1 Introduction; 3.2 Jump detection when the number of jumps is known; 3.2.1 Difference kernel estimation procedures3.1 The true regression function f and the jump detection criterion MDKE dejined by expression (3.2) when c = 0,n = 100, and hn = 0.1.The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the dWiley series in probability and statistics.Image processingRegression analysisImage processing.Regression analysis.006.3/7Qiu Peihua1965-448018MiAaPQMiAaPQMiAaPQBOOK9910823948103321Image processing and jump regression analysis103542UNINA