...D E B. Methods of estimating populations 1. Census Method 2. Sampling Methods Census of sample areas N = C/ N = population estimate C = survey count = proportion of area 3. Relative Abundances – CPUE (catch per unit effort) 4. Mark-Recapture Estimates of population size Lincoln-Peterson (closed populations) Assumptions 5. Removal Design (closed population) Examining the number of animal “removed” and cumulatively removed during successive catches Gear set 1 2 3 4 Catch 76 54 35 24 Cumulative 0 76 130 165 Demographic Techniques (chapter 8) A. What is Demography? B. Life Table Analysis of populations Cohort: Parts of a life table analysis: 1. x and nx 2. Survivorship schedule: lx a. Per capita mortality rate: qx b. Survivorship patterns: Type I Type II Type III 3. Getting the data: cohort life tables static life tables 3. Fertility schedule bx Life history strategies: - Semelparous - Iteroparous Costs: 5. The Intrinsic rate of increase (r) a. Net Reproductive Rate (Ro): b. Generation Time (G): c. r ~ ln (Ro)/ G r > 0 r = 0 r < 0 d. Stable and stationary age distributions 6. Reproductive value Population Growth Models (chapter 9) A. Models with discrete generations (no overlap) 1. Terminology Nt...
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...Chapter 5 Traditional Analog Modulation Techniques Mikael Olofsson — 2002–2007 Modulation techniques are mainly used to transmit information in a given frequency band. The reason for that may be that the channel is band-limited, or that we are assigned a certain frequency band and frequencies outside that band is supposed to be used by others. Therefore, we are interested in the spectral properties of various modulation techniques. The modulation techniques described here have a long history in radio applications. The information to be transmitted is normally an analog so called baseband signal. By that we understand a signal with the main part of its spectrum around zero. Especially, that means that the main part of the spectrum is below some frequency W , called the bandwidth of the signal. We also consider methods to demodulate the modulated signals, i.e. to regain the original signal from the modulated one. Noise added by the channel will necessarily affect the demodulated signal. We separate the analysis of those demodulation methods into one part where we assume an ideal channel that does not add any noise, and another part where we assume that the channel adds white Gaussian noise. 5.1 Amplitude Modulation Amplitude modulation, normally abbreviated AM, was the first modulation technique. The first radio broadcasts were done using this technique. The reason for that is that AM signals can be detected very easily. Essentially, all you need is a nonlinearity. Actually...
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...TOTAL QUALITY MANAGEMENT PRACTICE IN SMALL AUDIT FIRMS IN NIGERIA CHAPTER ONE INTRODUCTION 1.1 Background of the study Total quality management (TQM) practices in small audit firms have had accounting antecedence. The concept can be traced back to early 1920 production control idea notably, the concept developed in the late 1940’s and 1950’s, pioneered by American Feigenbaum, Deming and Juran. The concept total quality management (QTM) has many definitions. The gurus of total quality management discipline like Deming, Juran, Crosby, Ishikawa and Feigenbaum defined the concept in different ways, but still the essence and spirit remained the same. According to Deming, quality is a continuous improvement process towards predictable degree of uniformity and dependability. He identified fourteen principles of quality management to improve productivity and performance of an organization. Juran defined quality as “fitness for use”. According to him, every person in an organization must be involved in the effort to make products or services that are fit for use. Crosbly defines quality as conformance to requirement. His focus was on zero defects and doing it right the first time. Ishikawa also emphasized importance of total quality control to improve organizational performance. According to him, quality does not only mean the quality of products but also of after sale services, quality of managing the company itself and the human life. Feigenbaum defined total quality management...
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... 412p, Bibliography: P 354-84. (University of Delhi, Commerce (Deptt of-), Thesis). (Thesis, University of Delhi, Commerce (Deptt of-). {Note: Appendix: P 354-412}. X9(F555).46.N8 M8/Th 00914764 ABBI (Kavita). Life style of Indian women (working V/s non working). 1987. Delhi, University of Delhi. 110p. (University of Delhi, Commerce and Business (Faculty of-), Dissertation). (Dissertation, University of Delhi, Commerce and Business (Faculty of-). Y15.2.N8 M7/Th 00914439 ABERRA (Yohannes). Problems of irrigation in the drought prone region on Northern Ethiopia: A case study of the Mekele Plateau. 2001. Delhi, University of Delhi. xiii, 309p, Bibliography: P 275-92. (University of Delhi, Geography, Deptt. of-), Dissertation). (Dissertation, University of Delhi, Geography, Deptt. of-). {Note: Appendix: P 293-309}. U672(J):(D2).682.P P1/Th 01117400 ABRAHEAM (Khazel Asmail). India-Iraq trade and economic reltions. 1986. Delhi, University of Delhi. 345p,...
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...Introduction to Computing Explorations in Language, Logic, and Machines David Evans University of Virginia For the latest version of this book and supplementary materials, visit: http://computingbook.org Version: August 19, 2011 Attribution-Noncommercial-Share Alike 3.0 United States License Contents 1 Computing 1.1 Processes, Procedures, and Computers . . 1.2 Measuring Computing Power . . . . . . . 1.2.1 Information . . . . . . . . . . . . . 1.2.2 Representing Data . . . . . . . . . 1.2.3 Growth of Computing Power . . . 1.3 Science, Engineering, and the Liberal Arts 1.4 Summary and Roadmap . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2 3 3 8 12 13 16 Part I: Defining Procedures 2 Language 2.1 Surface Forms and Meanings 2.2 Language Construction . . . . 2.3 Recursive Transition Networks 2.4 Replacement Grammars . . . 2.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 19 ...
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...arXiv:math.DG/0207039 v1 3 Jul 2002 Exterior Differential Systems and Euler-Lagrange Partial Differential Equations Robert Bryant Phillip Griffiths July 3, 2002 Daniel Grossman ii Contents Preface Introduction 1 Lagrangians and Poincar´-Cartan Forms e 1.1 Lagrangians and Contact Geometry . . . . . . . . . 1.2 The Euler-Lagrange System . . . . . . . . . . . . . . 1.2.1 Variation of a Legendre Submanifold . . . . . 1.2.2 Calculation of the Euler-Lagrange System . . 1.2.3 The Inverse Problem . . . . . . . . . . . . . . 1.3 Noether’s Theorem . . . . . . . . . . . . . . . . . . . 1.4 Hypersurfaces in Euclidean Space . . . . . . . . . . . 1.4.1 The Contact Manifold over En+1 . . . . . . . 1.4.2 Euclidean-invariant Euler-Lagrange Systems . 1.4.3 Conservation Laws for Minimal Hypersurfaces 2 The 2.1 2.2 2.3 2.4 2.5 Geometry of Poincar´-Cartan Forms e The Equivalence Problem for n = 2 . . . . . . . Neo-Classical Poincar´-Cartan Forms . . . . . . e Digression on Affine Geometry of Hypersurfaces The Equivalence Problem for n ≥ 3 . . . . . . . The Prescribed Mean Curvature System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v vii 1 1 7 7 8 10 14 21 21 24 27 37...
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...14. Data analysis and interpretation Concepts and techniques for managing, editing, analyzing and interpreting data from epidemiologic studies. Key concepts/expectations This chapter contains a great deal of material and goes beyond what you are expected to learn for this course (i.e., for examination questions). However, statistical issues pervade epidemiologic studies, and you may find some of the material that follows of use as you read the literature. So if you find that you are getting lost and begin to wonder what points you are expected to learn, please refer to the following list of concepts we expect you to know: Need to edit data before serious analysis and to catch errors as soon as possible. Options for data cleaning – range checks, consistency checks – and what these can (and can not) accomplish. What is meant by data coding and why is it carried out. Basic meaning of various terms used to characterize the mathematical attributes of different kinds of variables, i.e., nominal, dichotomous, categorical, ordinal, measurement, count, discrete, interval, ratio, continuous. Be able to recognize examples of different kinds of variables and advantages/disadvantages of treating them in different ways. What is meant by a “derived” variable and different types of derived variables. Objectives of statistical hypothesis tests (“significance” tests), the meaning of the outcomes from such tests, and how to interpret a p-value...
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...Discrete Math for Computer Science Students Ken Bogart Dept. of Mathematics Dartmouth College Scot Drysdale Dept. of Computer Science Dartmouth College Cliff Stein Dept. of Industrial Engineering and Operations Research Columbia University ii c Kenneth P. Bogart, Scot Drysdale, and Cliff Stein, 2004 Contents 1 Counting 1.1 Basic Counting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Sum Principle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Abstraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Summing Consecutive Integers . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Product Principle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Two element subsets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Important Concepts, Formulas, and Theorems . . . . . . . . . . . . . . . . . . . . Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Counting Lists, Permutations, and Subsets. . . . . . . . . . . . . . . . . . . . . . Using the Sum and Product Principles . . . . . . . . . . . . . . . . . . . . . . . . Lists and functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Bijection Principle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . k-element permutations of a set . . . . . . . . . . . . . . . . . . . . . . . . . . . . Counting subsets...
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...The ORIGINAL ARTICLE Heart the MVand Short StaturePolicy implications CASE REPORT Sinking of Failure Doña Paz – II. in a 43 year-old male Table 1. Initial Laboratory Results Heart Failure recommendations to address these to hypothyroidism. with cardiomyopathy secondary factors. The patient had been born full term to a then 31-yearMethod. ReviewPara 3 (G4P3), the 4th of preparedness in the old Gravida 4 of the state of maritime 9 siblings, with an pre-disaster setting and the post-disaster responsefacilitated the apparently unremarkable delivery at home following by Table 2. Thyroid Doña Paz by the sinking of the MV Function Tests government and responsible a traditional birth attendant. He was noted to be normal agencies. A scrutiny Reference Value preparedness of concerned of the state of Result at birth. and subsequent response to thewith age was agencies The patient was allegedly at par0.02 disaster both Free T4 (0.8-2.0) ng/dL physically and mentally until formulating 24.75 Uiu/ml conducted with the objective of eight years old when he was recommendations TSH (0.4-6.0) said to have stopped growing in height. He was brought to which may lead to prevention and mitigate loss of lives. a private doctor, whose diagnosis was undisclosed, and he Results. Multiple factors to increase for the occurrence patient was given medications accounted height, which the of this tragedy. only one month with no improvement. Through the took for These factors include an inherent risk due...
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...Theory and Practice of Regulation of Anti-Money Laundering for Banks and NonBanks Hayford Kwesi Annor Manager, Risk & Compliance/AMLRO, ABii National Savings & Loans Ltd. Doctorate of finance student, SMC University, Switzerland. FAAFM, Ch.FE, ACCPA, MBA, BSc, HND h.k.annor@gmail.com Abstract A deregulated financial sector is free to accumulate and allocate funds from anywhere irrespective of the nature, form, intent and source. Without regulatory oversight, this poses zero risk to banks and nonbanks no matter how they finance the capital structure. In the real world, banking is an outcome of interactions between the regulator and the regulated. Regulatory consequences apply for failure to comply with the acceptable standards of best practices of banking regulation which include fines, sanctions, jail terms and revocation of the banking license for willful or non-willful noncompliance. The physical disposal of proceeds of funds’ from crime with aim of separating same, through creation of layers to disguise trails of the source and make it seem legitimate undermines the integrity of the financial system. It is required of the banking sector to build a comprehensive framework that identifies, assesses, monitors, mitigates and reports perceptions of suspicious activities of money launderers under the discipline of the regulator to avoid being sanction for the related offences. This paper reviews theory to link practice towards money laundering risk assessment...
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...SIAM J. IMAGING SCIENCES Vol. 1, No. 3, pp. 248–272 c 2008 Society for Industrial and Applied Mathematics A New Alternating Minimization Algorithm for Total Variation Image Reconstruction∗ Yilun Wang†, Junfeng Yang‡, Wotao Yin†, and Yin Zhang† Abstract. We propose, analyze, and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorithm arises from a new half-quadratic model applicable to not only the anisotropic but also the isotropic forms of TV discretizations. The per-iteration computational complexity of the algorithm is three fast Fourier transforms. We establish strong convergence properties for the algorithm including finite convergence for some variables and relatively fast exponential (or q-linear in optimization terminology) convergence for the others. Furthermore, we propose a continuation scheme to accelerate the practical convergence of the algorithm. Extensive numerical results show that our algorithm performs favorably in comparison to several state-of-the-art algorithms. In particular, it runs orders of magnitude faster than the lagged diffusivity algorithm for TV-based deblurring. Some extensions of our algorithm are also discussed. Key words. half-quadratic, image deblurring, isotropic total variation, fast Fourier transform AMS subject classifications. 68U10, 65J22, 65K10, 65T50, 90C25 DOI. 10.1137/080724265 1. Introduction. In this paper, we propose a fast...
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...| MBA | | | | | |THESIS | | | |ON | | [MARKET POTENTIAL OF TATA AIG LIFE INSURANCE IN GWALIOR] | A report submitted in partial fulfillment of the requirements of THE MBA PROGRAM (The Class of 2010) | | SUBMITTED TO SUBMITTED BY DR. SANJAY SHRIVASTAVA AMIT KAPASIYA...
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...Structures 1.1.2 Costs and Benefits 1.2 Abstract Data Types and Data Structures 1.3 Design Patterns 1.3.1 Flyweight 1.3.2 Visitor 1.3.3 Composite 1.3.4 Strategy 1.4 Problems, Algorithms, and Programs 1.5 Further Reading 1.6 Exercises 3 4 4 6 8 12 13 14 15 16 17 19 21 2 Mathematical Preliminaries 2.1 Sets and Relations 2.2 Miscellaneous Notation 2.3 Logarithms 2.4 Summations and Recurrences 25 25 29 31 33 iii iv Contents 2.5 2.6 2.7 2.8 2.9 3 II 4 Recursion Mathematical Proof Techniques 2.6.1 Direct Proof 2.6.2 Proof by Contradiction 2.6.3 Proof by Mathematical Induction Estimating Further Reading Exercises Algorithm Analysis 3.1 Introduction 3.2 Best, Worst, and Average Cases 3.3 A Faster Computer, or a Faster Algorithm? 3.4 Asymptotic Analysis 3.4.1 Upper Bounds 3.4.2 Lower Bounds 3.4.3 Θ Notation 3.4.4 Simplifying Rules 3.4.5 Classifying Functions 3.5 Calculating the Running Time for a Program 3.6 Analyzing Problems 3.7 Common Misunderstandings 3.8 Multiple Parameters 3.9 Space Bounds 3.10 Speeding Up Your Programs 3.11 Empirical Analysis 3.12 Further Reading 3.13 Exercises 3.14 Projects Fundamental Data Structures Lists, Stacks, and Queues 36 39 40 40 41 47 49 50 57 57 63...
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...IIMB-WP N0. 470 WORKING PAPER NO: 470 BASEL BANKING NORMS – A PRIMER Akshay Uday Shenoy PGP Student Indian Institute of Management Bangalore Bannerghatta Road, Bangalore – 560076 akshay.shenoy@iimb.ernet.in Yatin Balkrishna Mohane PGP Student Indian Institute of Management Bangalore Bannerghatta Road, Bangalore – 560076 yatin.mohane@iimb.ernet.in Charan Singh RBI Chair Professor Economics & Social Science Indian Institute of Management Bangalore Bannerghatta Road, Bangalore – 5600 76 Ph: 080-26993818 charansingh@iimb.ernet.in Year of Publication-October 2014 Basel Banking Norms – A Primer1 Abstract This paper aims to first build a deeper understanding of the emergence of Basel banking norms (Basel I), and the transition to each of the subsequent regulations (Basel II and Basel III). The primary purpose of developing this understanding is to further analyze the extent of effectiveness of the Basel norms. To explore how such regulations impact an economy, we have specifically looked at five economies of the world (including India), which are geographically apart, in this context. The idea here is to study how, for instance, banking institutions have shaped up to these norms – and whether the effects were favorable or adverse. We then conclude by conceptually looking at the future direction of regulations such as the Basel norms in the banking industry. Keywords: Banking, Financial Services, Regulation, Basel Norms, Capital Adequacy, Liquidity ...
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...Basseri Culture Name: Jinette Rivera Course Name: Cultural Anthropology Presented To: Cynthia Livingston Date: January 9, 2012 Table of Contents 1. Abstract 2 2. Introduction 3 I. Basseri Culture: 3 a) Domestic Tasks: 4 b) Frequent Migration: 4 c) Herding 4 II. Thesis Statement: 5 3. Mode of subsistence 5 4. Three Aspects of culture: 6 I. Kinship and socio political Organization: 6 II. Beliefs and Values 7 a) Evil Eyes and Envy: 7 b) Religion: 8 c) Marriage: 8 d) Anticipatory Inheritance: 8 e) Other Beliefs: 9 5. Conclusion 9 6. References 10 Abstract The purpose of this paper is to shed some light on Basseri culture. First part of the paper covers the introduction to basseri culture and their mode of subsistence. Basseri society is the nomadic parodists and migrates frequently so that they can have an advantage of seasoning grazing resources. Livestock is the primary source of their subsistence. Next part of the paper covers the three main aspects of basseri culture. Kinship, Socio Political Organization and their Beliefs have been cited in detail. Last part of the paper is ended with the conclusion. Introduction Basseri Culture: Basseri community lives in the area of Southern Iran and is commonly known due to their traditional pastoral practices. Southern Iran is considered...
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